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TEDAI talk - Katja Hofmann: Why we're training AI on video games

TEDAI Vienna 2024 | Why we're training AI on video games

Microsoft Research Forum | Episode 3 | Daniela Massiceti

Research Forum Ep 3: Globally inclusive and equitable AI, new use cases for AI, and more

TEDAI Vienna 2025 | How to stop AI from killing your critical thinking

출판물

자료 보기:

- Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools
  
  Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates
  
  Computers & Education | November 2025
  
  Preprint PDF 프로젝트 프로젝트 프로젝트 프로젝트
- Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception
  
  Georgiana Cristina Dobre, Marta Wilczkowiak (SHE/HER), Marco Gillies, Xueni Pan, Sean Rintel
  
  International Journal of Human-Computer Studies | November 2025, 제 205 권
  
  PDF DOI 프로젝트 프로젝트
- Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing
  
  Fang Ma, Ju Zhang, Lev Tankelevitch, Torang Asadi, Charlie Hewitt, Payod Panda, Lohit Petikam, Marco Gillies, Xenui Pan, Sean Rintel, Marta Wilczkowiak (SHE/HER)
  
  CSCW 2025 | October 2025
  
  PDF Publication Preprint 프로젝트 프로젝트
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication 프로젝트
- Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ArXiv | August 2025
  
  Preprint 프로젝트
- Designing Interfaces that Support Temporal Work Across Meetings with Generative AI
  
  Rishi Vanukuru, Payod Panda, Xinyue Chen, Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  DIS2025 | July 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint 프로젝트
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
  
  Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
  
  CHIWORK 2025 | June 2025
  
  Microsoft Foundry Labs
  
  PDF DOI 동영상 Access 프로젝트 프로젝트 프로젝트
- What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection
  
  Ava Elizabeth Scott, Lev Tankelevitch, Payod Panda, Rishi Vanukuru, Xinyue Chen, Sean Rintel
  
  CHIWORK 2025 | June 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트 프로젝트
- AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
  
  Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, Yuanting Liu, Yvonne Rogers, Mariam Hassib
  
  CHI 2025 | May 2025
  
  PDF DOI 프로젝트 프로젝트
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Cecily Morrison, Martin Grayson
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication 프로젝트
- Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
  
  Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication 프로젝트
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
  
  Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) | April 2025
  
  PDF 프로젝트
- YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking
  
  Pratik Ghosh, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트
- World and Human Action Models towards gameplay ideation
  
  Anssi Kanervisto, Dave Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
  
  Nature | February 2025, 제 638 권: pp. 656-663
  
  DOI Publication 동영상 Access
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version 프로젝트
- The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
  
  Auste Simkute, Viktor Kewenig, Abigail Sellen, Sean Rintel, Lev Tankelevitch
  
  arxiv | January 2025
  
  Preprint 프로젝트 프로젝트 프로젝트
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
  
  Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
  
  ACM Symposium on User Interface Software and Technology | October 2024
  
  Preprint 프로젝트
- Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  
  Auste Simkute, Lev Tankelevitch, Victor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  International Journal of Human–Computer Interaction | October 2024
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools
  
  Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell
  
  Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024
  
  PDF Publication 프로젝트 프로젝트
- Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic
  
  Sean Rintel
  
  Discourse & Communication | August 2024
  
  PDF DOI 프로젝트 프로젝트
- The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  DIS 2024 | July 2024
  
  PDF DOI 프로젝트 프로젝트
- Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI
  
  Srishti Palani, Gonzalo Ramos
  
  Creativity and Cognition | June 2024
  
  Publication 프로젝트
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 동영상 동영상 프로젝트
- “It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  
  Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
  
  CHIWORK 2024 | June 2024
  
  PDF DOI 프로젝트 프로젝트
- Solving Data-centric Tasks using Large Language Models
  
  Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
  
  Publication
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 동영상 프로젝트
- CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  CHI EA 2024 | May 2024
  
  PDF DOI 프로젝트 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
  
  Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  CHI 2024 | May 2024
  
  PDF DOI Publication 프로젝트 프로젝트
- The Metacognitive Demands and Opportunities of Generative AI
  
  Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
  
  CHI ’24 | May 2024
  
  Best Paper, CHI 2024
  
  Preprint DOI Preprint 동영상 프로젝트 프로젝트 프로젝트
- Learning Safety Constraints from Demonstrations with Unknown Rewards
  
  David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
  
  International Conference on Artificial Intelligence and Statistics | April 2024
  
  DOI PDF
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication 프로젝트
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
  
  Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  February 2024
  
  Author's Version 프로젝트 프로젝트
- Toward Human-AI Alignment in Large-Scale Multi-Player Games
  
  Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
  
  arXiv:2402.03575 | February 2024
  
  글쓴이 Microsoft
  
  DOI 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Transformer Neural Autoregressive Flows
  
  Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E Turner
  
  January 2024
  
  Publication
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
  
  Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E Turner
  
  Conference on Lifelong Learning Agents | November 2023
  
  DOI PDF
- FxD: a functional debugger for dysfunctional spreadsheets
  
  Ian Drosos, Nicholas Wilson, Andy Gordon, Sruti Srinivasa Ragavan, Jack Williams
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Best Paper, Honorable Mention
  
  Publication 프로젝트 프로젝트
- Building Knowledge through Action: Considerations for Machine Learning in the Workplace
  
  Siân Lindley, Denise Wilkins
  
  ACM Transactions on Computer-Human Interaction | October 2023, 제 30 권(5)
  
  Publication 프로젝트 프로젝트
- Co-audit: tools to help humans double-check AI-generated content
  
  Andy Gordon, Carina Negreanu, José Cambronero, Rasika Mudumbai Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson (nee Murfet), Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
  
  October 2023
  
  Preprint 프로젝트 프로젝트
- ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code
  
  Kasra Ferdowsi, Jack Williams, Ian Drosos, Andy Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Ben Zorn
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Publication 프로젝트 프로젝트 프로젝트
- Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
  
  Advait Sarkar, Ian Drosos, Robert DeLIne, Andy Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Ben Zorn
  
  Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023) | August 2023
  
  PDF 프로젝트 프로젝트 프로젝트
- Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
  
  Advait Sarkar
  
  Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
  
  PDF DOI 프로젝트 프로젝트
- Contrastive Meta-Learning for Partially Observable Few-Shot Learning
  
  Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
  
  ICLR | May 2023
  
  Publication 프로젝트
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication 프로젝트
- Imitating Human Behaviour with Diffusion Models
  
  Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
  
  ICLR 2023 | May 2023
  
  Publication
- Trust Region Bounds for Decentralized PPO Under Non-stationarity
  
  Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
  
  Best Paper Award
  
  Publication 프로젝트
- Content Repurposing in Knowledge Work: Implications for Generative AI
  
  Siân Lindley, Chris Elsden, Hanna Moser, Amid Ayobi
  
  April 2023
  
  Presented at the CHI 2023 Workshop on Generative AI and HCI
- “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
  
  Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andy Gordon
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | April 2023
  
  Honorable mention
  
  PDF Publication DOI 동영상 프로젝트 프로젝트
- Large-Scale Analysis of New Employee Network Dynamics
  
  Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
  
  The Web Conference 2023 | April 2023
  
  Publication 프로젝트 프로젝트
- Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
  
  Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Stevenson, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
  
  CHI | April 2023
  
  Publication 프로젝트
- Go-Explore Complex 3D Game Environments for Automated Reachability Testing
  
  Cong Lu, Raluca Stevenson, Johan Verwey
  
  IEEE Transactions on Games | December 2022, pp. 1-6
  
  Publication
- Collaboration in relation to Human-AI Systems: Status, Trends, and Impact
  
  António Correia, Siân Lindley
  
  IEEE BigData | December 2022
  
  Publication
- Uni[MASK]: Unified Inference in Sequential Decision Problems
  
  Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
  
  2022 Neural Information Processing Systems | November 2022
  
  Publication 프로젝트
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
  
  Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
  
  Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022 | September 2022
  
  Preprint PDF 프로젝트 프로젝트
- End-user encounters with lambda abstraction in spreadsheets: Apollo’s bow or Achilles’ heel?
  
  Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andy Gordon
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2022
  
  PDF 프로젝트
- Imitating Playstyle with Dynamic Time Warping Imitation
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
  
  International Conference on the Foundations of Digital Games (FDG) | September 2022
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication 프로젝트 프로젝트
- LinkingPark: An automatic semantic table interpretation system
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
  
  Journal of Web Semantics | June 2022
  
  DOI 프로젝트 프로젝트 프로젝트
- Ways of Seeing and Being Seen: People in the Algorithmic Knowledge Base
  
  Ida Larsen-Ledet, Siân Lindley
  
  ECSCW 2022 workshop on CSCW and Algorithmic Systems | June 2022
  
  Accepted for inclusion at the workshop on "CSCW and Algorithmic Systems" at the 20th European Conference on Computer-Supported Cooperative Work.
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- How Humans Perceive Human-like Behavior in Video Game Navigation
  
  Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  CHI 2022 | April 2022
  
  Publication 프로젝트
- Gigified Knowledge Work: Understanding Knowledge Gaps when Knowledge Work and On-Demand Work Intersect
  
  Denise Wilkins, Srihari Hulikal Muralidhar, Max Meijer, Laura Lascău, Siân Lindley
  
  Proceedings of ACM on Human-Computer Interaction | April 2022, 제 6 권(CSCW1)
  
  Article No. 93
  
  PDF DOI 프로젝트 프로젝트
- Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
  
  Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon, Chin-Yew Lin
  
  TheWebConf 2022 | April 2022
  
  Publication
- Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
  
  Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
  
  AAAI 2022 | February 2022
  
  Publication
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github 프로젝트
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication 프로젝트 프로젝트
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github 프로젝트 프로젝트
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF 프로젝트
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication 프로젝트
- Where-Provenance for Bidirectional Editing in Spreadsheets
  
  Jack Williams, Andy Gordon
  
  VL/HCC 2021 | October 2021
  
  Pre-print. Full publication will be available from IEEE.
  
  Publication 프로젝트
- Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
  
  Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
  
  PDF
- Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
  
  Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
  
  2021 International Conference on Machine Learning | July 2021
  
  Source code available at: https://github.com/microsoft/NTT
  
  Publication 동영상 Github 프로젝트
- Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
  
  Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
  
  2021 International Conference on Machine Learning | July 2021
  
  Preprint
- TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
  
  Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Preprint
- Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
  
  Batu Aytemiz, Mikhail Jacob, Sam Devlin
  
  CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
  
  Author's Version 프로젝트
- Bedtime Window: A Field Study Connecting Bedrooms of Long-Distance Couples Using a Slow Photo-Stream and Shared Real-Time Inking
  
  Jan Kučera, James Scott, Siân Lindley, Patrick Olivier
  
  CHI | May 2021
  
  Publication
- Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
  
  Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint PDF 동영상 프로젝트
- Difference Rewards Policy Gradients
  
  Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 동영상 프로젝트
- Evaluating the Robustness of Collaborative Agents
  
  Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca Dragan, Rohin Shah
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 프로젝트
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication 프로젝트 프로젝트
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
  
  January 2021
  
  Preprint 프로젝트
- LinkingPark: An Integrated Approach for Semantic Table Interpretation
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Andy Gordon, Chin-Yew Lin
  
  ISWC 2020 SemTab Workshop | December 2020
  
  편집자: Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
  
  2nd Prize in SemTab Competition
  
  PDF 프로젝트 프로젝트 프로젝트
- Designing AI Systems that make Organizational Knowledge Actionable
  
  Denise Wilkins, Siân Lindley, Max Meijer, Richard Banks, Britta Burlin
  
  Interactions | November 2020, 제 27 권(6): pp. 72-75
  
  DOI Publication 프로젝트
- “It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
  
  Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
  
  AIIDE 2020 BEST PAPER AWARD
  
  Best paper award winner.
  
  Author's Version 프로젝트
- Player Style Clustering without Game Variables
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
  
  FDG ’20: International Conference on the Foundations of Digital Games | September 2020
  
  Publication
- Understanding and Inferring Units in Spreadsheets
  
  Jack Williams, Carina Negreanu, Andy Gordon, Advait Sarkar
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | July 2020
  
  Publication DOI 프로젝트
- Variational Integrator Networks for Physically Meaningful Embeddings
  
  Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
  
  Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020
  
  Author's Version 프로젝트
- Combining No-regret and Q-learning
  
  Ian A. Kash, Michael Sullins, Katja Hofmann
  
  2020 Adaptive Agents and Multi-Agents Systems | May 2020
  
  Publication Publication 프로젝트
- A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds
  
  Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020
  
  Author's Version 프로젝트
- AMRL: Aggregated Memory For Reinforcement Learning
  
  Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Conservative Uncertainty Estimation By Fitting Prior Networks
  
  Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF Github 프로젝트 프로젝트
- Gridlets: Reusing Spreadsheet Grids
  
  Nima Joharizadeh, Advait Sarkar, Jack Williams, Andy Gordon
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication 프로젝트
- Spreadsheet Use and Programming Experience: an Exploratory Survey
  
  Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andy Gordon, Jack Williams
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  
  Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
  
  IEEE Transactions on Games | March 2020
  
  Publication Preprint
- Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
  
  Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Publication 프로젝트
- Better Exploration with Optimistic Actor-Critic
  
  Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
  
  33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF 프로젝트
- Reinforcement Learning: Past, Present, and Future Perspectives
  
  Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Tutorial
  
  Publication 동영상
- Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
  
  David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, Jose Miguel Hernandez Lobato, Sebastian Tschiatschek
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  프로젝트 프로젝트
- The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019
  
  Author's Version 프로젝트
- Minecraft as AI Playground and Laboratory
  
  Katja Hofmann
  
  Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019
  
  Opening keynote (extended abstract)
  
  Publication 프로젝트
- Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
  
  Rémy Portelas, Pierre-Yves Oudeyer, Cédric Colas, Katja Hofmann
  
  Third Conference on Robot Learning (CoRL) | October 2019
  
  Publication Author's Version 동영상
- MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
  
  Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication Github
- A Generalized Framework for Self-Play Training
  
  Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
  
  IEEE Conference on Games | August 2019
  
  Publication
- Win or Learn Fast Proximal Policy Optimisation
  
  Dino Ratcliffe, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication
- Fast Context Adaptation via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
  
  Thirty-sixth International Conference on Machine Learning (ICML) | June 2019
  
  Author's Version
- Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
  
  Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
  
  The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
  
  Publication
- The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
  
  Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
  
  1901.08129 | January 2019
  
  글쓴이 Arxiv
  
  Publication 프로젝트
- How Players Speak to an Intelligent Game Character Using Natural Language Messages
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  Transactions of the Digital Games Research Association | December 2018, 제 4 권(2): pp. 1-49
  
  Publication 프로젝트
- Combining No-regret and Q-learning (2018)
  
  Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.
  
  PDF 프로젝트
- Learning good policies from suboptimal demonstrations
  
  Yuxiang Li, Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  PDF
- Advancements in Dueling Bandits
  
  Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
  
  Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence | July 2018
  
  Publication
- Depth and nonlinearity induce implicit exploration for RL
  
  Justas Dauparas, Ryota Tomioka, Katja Hofmann
  
  ICML workshop on Exploration in RL | July 2018
  
  Publication
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF 프로젝트 프로젝트
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  글쓴이 Microsoft
  
  Publication Publication 프로젝트 프로젝트
- A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
  
  Felix Leibfried, Nate Kushman, Katja Hofmann
  
  ICML workshop on Principled Approaches to Deep Learning | August 2017
  
  Publication
- Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  CHI EA ’17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017
  
  Publication Publication Publication 프로젝트
- The Atari Grand Challenge Dataset
  
  Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
  
  MSR-TR-2017-61 | May 2017
  
  글쓴이 Microsoft
  
  Publication
- Memory Lens – How Much Memory Does an Agent Use?
  
  Christoph Dann, Katja Hofmann, Sebastian Nowozin
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016
  
  Publication PDF 프로젝트
- Decoding multitask DQN in the world of Minecraft
  
  Lydia T. Liu, Urun Dogan, Katja Hofmann
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.
  
  PDF 프로젝트
- The Malmo Platform for Artificial Intelligence Experimentation
  
  Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann
  
  25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016
  
  Publication 동영상 프로젝트

- Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools
  
  Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates
  
  Computers & Education | November 2025
  
  Preprint PDF 프로젝트 프로젝트 프로젝트 프로젝트
- Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
  
  Jinyang Li , Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng
  
  NeurIPS 2025 | October 2025
  
  Publication
- Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing
  
  Fang Ma, Ju Zhang, Lev Tankelevitch, Torang Asadi, Charlie Hewitt, Payod Panda, Lohit Petikam, Marco Gillies, Xenui Pan, Sean Rintel, Marta Wilczkowiak (SHE/HER)
  
  CSCW 2025 | October 2025
  
  PDF Publication Preprint 프로젝트 프로젝트
- Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ArXiv | August 2025
  
  Preprint 프로젝트
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication 프로젝트
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint 프로젝트
- Designing Interfaces that Support Temporal Work Across Meetings with Generative AI
  
  Rishi Vanukuru, Payod Panda, Xinyue Chen, Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  DIS2025 | July 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
  
  Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
  
  CHIWORK 2025 | June 2025
  
  Microsoft Foundry Labs
  
  PDF DOI 동영상 Access 프로젝트 프로젝트 프로젝트
- What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection
  
  Ava Elizabeth Scott, Lev Tankelevitch, Payod Panda, Rishi Vanukuru, Xinyue Chen, Sean Rintel
  
  CHIWORK 2025 | June 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트 프로젝트
- AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
  
  Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, Yuanting Liu, Yvonne Rogers, Mariam Hassib
  
  CHI 2025 | May 2025
  
  PDF DOI 프로젝트 프로젝트
- Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) | April 2025
  
  PDF 프로젝트
- YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking
  
  Pratik Ghosh, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
  
  Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
  
  Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Cecily Morrison, Martin Grayson
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication 프로젝트
- World and Human Action Models towards gameplay ideation
  
  Anssi Kanervisto, Dave Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
  
  Nature | February 2025, 제 638 권: pp. 656-663
  
  DOI Publication 동영상 Access
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version 프로젝트
- The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
  
  Auste Simkute, Viktor Kewenig, Abigail Sellen, Sean Rintel, Lev Tankelevitch
  
  arxiv | January 2025
  
  Preprint 프로젝트 프로젝트 프로젝트
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  
  Auste Simkute, Lev Tankelevitch, Victor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  International Journal of Human–Computer Interaction | October 2024
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools
  
  Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell
  
  Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024
  
  PDF Publication 프로젝트 프로젝트
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
  
  Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
  
  ACM Symposium on User Interface Software and Technology | October 2024
  
  Preprint 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic
  
  Sean Rintel
  
  Discourse & Communication | August 2024
  
  PDF DOI 프로젝트 프로젝트
- The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  DIS 2024 | July 2024
  
  PDF DOI 프로젝트 프로젝트
- Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI
  
  Srishti Palani, Gonzalo Ramos
  
  Creativity and Cognition | June 2024
  
  Publication 프로젝트
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 동영상 동영상 프로젝트
- Solving Data-centric Tasks using Large Language Models
  
  Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
  
  Publication
- “It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  
  Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
  
  CHIWORK 2024 | June 2024
  
  PDF DOI 프로젝트 프로젝트
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 동영상 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  CHI EA 2024 | May 2024
  
  PDF DOI 프로젝트 프로젝트
- The Metacognitive Demands and Opportunities of Generative AI
  
  Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
  
  CHI ’24 | May 2024
  
  Best Paper, CHI 2024
  
  Preprint DOI Preprint 동영상 프로젝트 프로젝트 프로젝트
- Learning Safety Constraints from Demonstrations with Unknown Rewards
  
  David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
  
  International Conference on Artificial Intelligence and Statistics | April 2024
  
  DOI PDF
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication 프로젝트
- Toward Human-AI Alignment in Large-Scale Multi-Player Games
  
  Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
  
  arXiv:2402.03575 | February 2024
  
  글쓴이 Microsoft
  
  DOI 프로젝트
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
  
  Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  February 2024
  
  Author's Version 프로젝트 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Transformer Neural Autoregressive Flows
  
  Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E Turner
  
  January 2024
  
  Publication
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
  
  Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E Turner
  
  Conference on Lifelong Learning Agents | November 2023
  
  DOI PDF
- Co-audit: tools to help humans double-check AI-generated content
  
  Andy Gordon, Carina Negreanu, José Cambronero, Rasika Mudumbai Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson (nee Murfet), Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
  
  October 2023
  
  Preprint 프로젝트 프로젝트
- ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code
  
  Kasra Ferdowsi, Jack Williams, Ian Drosos, Andy Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Ben Zorn
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Publication 프로젝트 프로젝트 프로젝트
- Building Knowledge through Action: Considerations for Machine Learning in the Workplace
  
  Siân Lindley, Denise Wilkins
  
  ACM Transactions on Computer-Human Interaction | October 2023, 제 30 권(5)
  
  Publication 프로젝트 프로젝트
- Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
  
  Advait Sarkar, Ian Drosos, Robert DeLIne, Andy Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Ben Zorn
  
  Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023) | August 2023
  
  PDF 프로젝트 프로젝트 프로젝트
- Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
  
  Advait Sarkar
  
  Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
  
  PDF DOI 프로젝트 프로젝트
- Contrastive Meta-Learning for Partially Observable Few-Shot Learning
  
  Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
  
  ICLR | May 2023
  
  Publication 프로젝트
- Trust Region Bounds for Decentralized PPO Under Non-stationarity
  
  Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
  
  Best Paper Award
  
  Publication 프로젝트
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication 프로젝트
- Imitating Human Behaviour with Diffusion Models
  
  Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
  
  ICLR 2023 | May 2023
  
  Publication
- Content Repurposing in Knowledge Work: Implications for Generative AI
  
  Siân Lindley, Chris Elsden, Hanna Moser, Amid Ayobi
  
  April 2023
  
  Presented at the CHI 2023 Workshop on Generative AI and HCI
- Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
  
  Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Stevenson, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
  
  CHI | April 2023
  
  Publication 프로젝트
- “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
  
  Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andy Gordon
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | April 2023
  
  Honorable mention
  
  PDF Publication DOI 동영상 프로젝트 프로젝트
- Go-Explore Complex 3D Game Environments for Automated Reachability Testing
  
  Cong Lu, Raluca Stevenson, Johan Verwey
  
  IEEE Transactions on Games | December 2022, pp. 1-6
  
  Publication
- Collaboration in relation to Human-AI Systems: Status, Trends, and Impact
  
  António Correia, Siân Lindley
  
  IEEE BigData | December 2022
  
  Publication
- Uni[MASK]: Unified Inference in Sequential Decision Problems
  
  Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
  
  2022 Neural Information Processing Systems | November 2022
  
  Publication 프로젝트
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
  
  Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
  
  Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022 | September 2022
  
  Preprint PDF 프로젝트 프로젝트
- Imitating Playstyle with Dynamic Time Warping Imitation
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
  
  International Conference on the Foundations of Digital Games (FDG) | September 2022
  
  Publication
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication 프로젝트 프로젝트
- LinkingPark: An automatic semantic table interpretation system
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
  
  Journal of Web Semantics | June 2022
  
  DOI 프로젝트 프로젝트 프로젝트
- Ways of Seeing and Being Seen: People in the Algorithmic Knowledge Base
  
  Ida Larsen-Ledet, Siân Lindley
  
  ECSCW 2022 workshop on CSCW and Algorithmic Systems | June 2022
  
  Accepted for inclusion at the workshop on "CSCW and Algorithmic Systems" at the 20th European Conference on Computer-Supported Cooperative Work.
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
  
  Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon, Chin-Yew Lin
  
  TheWebConf 2022 | April 2022
  
  Publication
- Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
  
  Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
  
  AAAI 2022 | February 2022
  
  Publication
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github 프로젝트
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github 프로젝트 프로젝트
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF 프로젝트
- Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
  
  Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
  
  PDF
- Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
  
  Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
  
  2021 International Conference on Machine Learning | July 2021
  
  Source code available at: https://github.com/microsoft/NTT
  
  Publication 동영상 Github 프로젝트
- TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
  
  Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Preprint
- Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
  
  Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
  
  2021 International Conference on Machine Learning | July 2021
  
  Preprint
- Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
  
  Batu Aytemiz, Mikhail Jacob, Sam Devlin
  
  CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
  
  Author's Version 프로젝트
- Difference Rewards Policy Gradients
  
  Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 동영상 프로젝트
- Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
  
  Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint PDF 동영상 프로젝트
- Evaluating the Robustness of Collaborative Agents
  
  Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca Dragan, Rohin Shah
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 프로젝트
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication 프로젝트 프로젝트
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
  
  January 2021
  
  Preprint 프로젝트
- LinkingPark: An Integrated Approach for Semantic Table Interpretation
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Andy Gordon, Chin-Yew Lin
  
  ISWC 2020 SemTab Workshop | December 2020
  
  편집자: Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
  
  2nd Prize in SemTab Competition
  
  PDF 프로젝트 프로젝트 프로젝트
- “It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
  
  Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
  
  AIIDE 2020 BEST PAPER AWARD
  
  Best paper award winner.
  
  Author's Version 프로젝트
- Player Style Clustering without Game Variables
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
  
  FDG ’20: International Conference on the Foundations of Digital Games | September 2020
  
  Publication
- Understanding and Inferring Units in Spreadsheets
  
  Jack Williams, Carina Negreanu, Andy Gordon, Advait Sarkar
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | July 2020
  
  Publication DOI 프로젝트
- Variational Integrator Networks for Physically Meaningful Embeddings
  
  Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
  
  Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020
  
  Author's Version 프로젝트
- Combining No-regret and Q-learning
  
  Ian A. Kash, Michael Sullins, Katja Hofmann
  
  2020 Adaptive Agents and Multi-Agents Systems | May 2020
  
  Publication Publication 프로젝트
- A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds
  
  Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020
  
  Author's Version 프로젝트
- VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Conservative Uncertainty Estimation By Fitting Prior Networks
  
  Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF Github 프로젝트 프로젝트
- AMRL: Aggregated Memory For Reinforcement Learning
  
  Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  
  Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
  
  IEEE Transactions on Games | March 2020
  
  Publication Preprint
- Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
  
  Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Publication 프로젝트
- Better Exploration with Optimistic Actor-Critic
  
  Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
  
  33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF 프로젝트
- Reinforcement Learning: Past, Present, and Future Perspectives
  
  Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Tutorial
  
  Publication 동영상
- Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
  
  David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, Jose Miguel Hernandez Lobato, Sebastian Tschiatschek
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  프로젝트 프로젝트
- The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019
  
  Author's Version 프로젝트
- Minecraft as AI Playground and Laboratory
  
  Katja Hofmann
  
  Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019
  
  Opening keynote (extended abstract)
  
  Publication 프로젝트
- Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
  
  Rémy Portelas, Pierre-Yves Oudeyer, Cédric Colas, Katja Hofmann
  
  Third Conference on Robot Learning (CoRL) | October 2019
  
  Publication Author's Version 동영상
- MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
  
  Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication Github
- A Generalized Framework for Self-Play Training
  
  Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
  
  IEEE Conference on Games | August 2019
  
  Publication
- Win or Learn Fast Proximal Policy Optimisation
  
  Dino Ratcliffe, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication
- Fast Context Adaptation via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
  
  Thirty-sixth International Conference on Machine Learning (ICML) | June 2019
  
  Author's Version
- Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
  
  Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
  
  The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
  
  Publication
- The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
  
  Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
  
  1901.08129 | January 2019
  
  글쓴이 Arxiv
  
  Publication 프로젝트
- How Players Speak to an Intelligent Game Character Using Natural Language Messages
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  Transactions of the Digital Games Research Association | December 2018, 제 4 권(2): pp. 1-49
  
  Publication 프로젝트
- Combining No-regret and Q-learning (2018)
  
  Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.
  
  PDF 프로젝트
- Learning good policies from suboptimal demonstrations
  
  Yuxiang Li, Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  PDF
- Advancements in Dueling Bandits
  
  Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
  
  Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence | July 2018
  
  Publication
- Depth and nonlinearity induce implicit exploration for RL
  
  Justas Dauparas, Ryota Tomioka, Katja Hofmann
  
  ICML workshop on Exploration in RL | July 2018
  
  Publication
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  글쓴이 Microsoft
  
  Publication Publication 프로젝트 프로젝트
- A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
  
  Felix Leibfried, Nate Kushman, Katja Hofmann
  
  ICML workshop on Principled Approaches to Deep Learning | August 2017
  
  Publication
- Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  CHI EA ’17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017
  
  Publication Publication Publication 프로젝트
- The Atari Grand Challenge Dataset
  
  Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
  
  MSR-TR-2017-61 | May 2017
  
  글쓴이 Microsoft
  
  Publication
- Memory Lens – How Much Memory Does an Agent Use?
  
  Christoph Dann, Katja Hofmann, Sebastian Nowozin
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016
  
  Publication PDF 프로젝트
- Decoding multitask DQN in the world of Minecraft
  
  Lydia T. Liu, Urun Dogan, Katja Hofmann
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.
  
  PDF 프로젝트
- The Malmo Platform for Artificial Intelligence Experimentation
  
  Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann
  
  25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016
  
  Publication 동영상 프로젝트
- Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools
  
  Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates
  
  Computers & Education | November 2025
  
  Preprint PDF 프로젝트 프로젝트 프로젝트 프로젝트
- Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception
  
  Georgiana Cristina Dobre, Marta Wilczkowiak (SHE/HER), Marco Gillies, Xueni Pan, Sean Rintel
  
  International Journal of Human-Computer Studies | November 2025, 제 205 권
  
  PDF DOI 프로젝트 프로젝트
- Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing
  
  Fang Ma, Ju Zhang, Lev Tankelevitch, Torang Asadi, Charlie Hewitt, Payod Panda, Lohit Petikam, Marco Gillies, Xenui Pan, Sean Rintel, Marta Wilczkowiak (SHE/HER)
  
  CSCW 2025 | October 2025
  
  PDF Publication Preprint 프로젝트 프로젝트
- Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ArXiv | August 2025
  
  Preprint 프로젝트
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication 프로젝트
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint 프로젝트
- Designing Interfaces that Support Temporal Work Across Meetings with Generative AI
  
  Rishi Vanukuru, Payod Panda, Xinyue Chen, Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  DIS2025 | July 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
  
  Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
  
  CHIWORK 2025 | June 2025
  
  Microsoft Foundry Labs
  
  PDF DOI 동영상 Access 프로젝트 프로젝트 프로젝트
- What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection
  
  Ava Elizabeth Scott, Lev Tankelevitch, Payod Panda, Rishi Vanukuru, Xinyue Chen, Sean Rintel
  
  CHIWORK 2025 | June 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트 프로젝트
- AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
  
  Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, Yuanting Liu, Yvonne Rogers, Mariam Hassib
  
  CHI 2025 | May 2025
  
  PDF DOI 프로젝트 프로젝트
- Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) | April 2025
  
  PDF 프로젝트
- YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking
  
  Pratik Ghosh, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
  
  Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
  
  Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication 프로젝트
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Cecily Morrison, Martin Grayson
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication 프로젝트
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version 프로젝트
- The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
  
  Auste Simkute, Viktor Kewenig, Abigail Sellen, Sean Rintel, Lev Tankelevitch
  
  arxiv | January 2025
  
  Preprint 프로젝트 프로젝트 프로젝트
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  
  Auste Simkute, Lev Tankelevitch, Victor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  International Journal of Human–Computer Interaction | October 2024
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools
  
  Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell
  
  Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024
  
  PDF Publication 프로젝트 프로젝트
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
  
  Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
  
  ACM Symposium on User Interface Software and Technology | October 2024
  
  Preprint 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic
  
  Sean Rintel
  
  Discourse & Communication | August 2024
  
  PDF DOI 프로젝트 프로젝트
- The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  DIS 2024 | July 2024
  
  PDF DOI 프로젝트 프로젝트
- Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI
  
  Srishti Palani, Gonzalo Ramos
  
  Creativity and Cognition | June 2024
  
  Publication 프로젝트
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 동영상 동영상 프로젝트
- “It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  
  Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
  
  CHIWORK 2024 | June 2024
  
  PDF DOI 프로젝트 프로젝트
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 동영상 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  CHI EA 2024 | May 2024
  
  PDF DOI 프로젝트 프로젝트
- Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
  
  Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  CHI 2024 | May 2024
  
  PDF DOI Publication 프로젝트 프로젝트
- The Metacognitive Demands and Opportunities of Generative AI
  
  Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
  
  CHI ’24 | May 2024
  
  Best Paper, CHI 2024
  
  Preprint DOI Preprint 동영상 프로젝트 프로젝트 프로젝트
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
  
  Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  February 2024
  
  Author's Version 프로젝트 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- FxD: a functional debugger for dysfunctional spreadsheets
  
  Ian Drosos, Nicholas Wilson, Andy Gordon, Sruti Srinivasa Ragavan, Jack Williams
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Best Paper, Honorable Mention
  
  Publication 프로젝트 프로젝트
- Co-audit: tools to help humans double-check AI-generated content
  
  Andy Gordon, Carina Negreanu, José Cambronero, Rasika Mudumbai Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson (nee Murfet), Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
  
  October 2023
  
  Preprint 프로젝트 프로젝트
- ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code
  
  Kasra Ferdowsi, Jack Williams, Ian Drosos, Andy Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Ben Zorn
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Publication 프로젝트 프로젝트 프로젝트
- Building Knowledge through Action: Considerations for Machine Learning in the Workplace
  
  Siân Lindley, Denise Wilkins
  
  ACM Transactions on Computer-Human Interaction | October 2023, 제 30 권(5)
  
  Publication 프로젝트 프로젝트
- Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
  
  Advait Sarkar, Ian Drosos, Robert DeLIne, Andy Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Ben Zorn
  
  Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023) | August 2023
  
  PDF 프로젝트 프로젝트 프로젝트
- Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
  
  Advait Sarkar
  
  Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
  
  PDF DOI 프로젝트 프로젝트
- Content Repurposing in Knowledge Work: Implications for Generative AI
  
  Siân Lindley, Chris Elsden, Hanna Moser, Amid Ayobi
  
  April 2023
  
  Presented at the CHI 2023 Workshop on Generative AI and HCI
- “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
  
  Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andy Gordon
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | April 2023
  
  Honorable mention
  
  PDF Publication DOI 동영상 프로젝트 프로젝트
- Collaboration in relation to Human-AI Systems: Status, Trends, and Impact
  
  António Correia, Siân Lindley
  
  IEEE BigData | December 2022
  
  Publication
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
  
  Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
  
  Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022 | September 2022
  
  Preprint PDF 프로젝트 프로젝트
- End-user encounters with lambda abstraction in spreadsheets: Apollo’s bow or Achilles’ heel?
  
  Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andy Gordon
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2022
  
  PDF 프로젝트
- Ways of Seeing and Being Seen: People in the Algorithmic Knowledge Base
  
  Ida Larsen-Ledet, Siân Lindley
  
  ECSCW 2022 workshop on CSCW and Algorithmic Systems | June 2022
  
  Accepted for inclusion at the workshop on "CSCW and Algorithmic Systems" at the 20th European Conference on Computer-Supported Cooperative Work.
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- How Humans Perceive Human-like Behavior in Video Game Navigation
  
  Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  CHI 2022 | April 2022
  
  Publication 프로젝트
- Gigified Knowledge Work: Understanding Knowledge Gaps when Knowledge Work and On-Demand Work Intersect
  
  Denise Wilkins, Srihari Hulikal Muralidhar, Max Meijer, Laura Lascău, Siân Lindley
  
  Proceedings of ACM on Human-Computer Interaction | April 2022, 제 6 권(CSCW1)
  
  Article No. 93
  
  PDF DOI 프로젝트 프로젝트
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication 프로젝트 프로젝트
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github 프로젝트 프로젝트
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF 프로젝트
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication 프로젝트
- Where-Provenance for Bidirectional Editing in Spreadsheets
  
  Jack Williams, Andy Gordon
  
  VL/HCC 2021 | October 2021
  
  Pre-print. Full publication will be available from IEEE.
  
  Publication 프로젝트
- Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
  
  Batu Aytemiz, Mikhail Jacob, Sam Devlin
  
  CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
  
  Author's Version 프로젝트
- Bedtime Window: A Field Study Connecting Bedrooms of Long-Distance Couples Using a Slow Photo-Stream and Shared Real-Time Inking
  
  Jan Kučera, James Scott, Siân Lindley, Patrick Olivier
  
  CHI | May 2021
  
  Publication
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication 프로젝트 프로젝트
- Designing AI Systems that make Organizational Knowledge Actionable
  
  Denise Wilkins, Siân Lindley, Max Meijer, Richard Banks, Britta Burlin
  
  Interactions | November 2020, 제 27 권(6): pp. 72-75
  
  DOI Publication 프로젝트
- Understanding and Inferring Units in Spreadsheets
  
  Jack Williams, Carina Negreanu, Andy Gordon, Advait Sarkar
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | July 2020
  
  Publication DOI 프로젝트
- Spreadsheet Use and Programming Experience: an Exploratory Survey
  
  Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andy Gordon, Jack Williams
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Gridlets: Reusing Spreadsheet Grids
  
  Nima Joharizadeh, Advait Sarkar, Jack Williams, Andy Gordon
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication 프로젝트
- How Players Speak to an Intelligent Game Character Using Natural Language Messages
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  Transactions of the Digital Games Research Association | December 2018, 제 4 권(2): pp. 1-49
  
  Publication 프로젝트
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF 프로젝트 프로젝트
- Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  CHI EA ’17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017
  
  Publication Publication Publication 프로젝트
- Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools
  
  Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates
  
  Computers & Education | November 2025
  
  Preprint PDF 프로젝트 프로젝트 프로젝트 프로젝트
- Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception
  
  Georgiana Cristina Dobre, Marta Wilczkowiak (SHE/HER), Marco Gillies, Xueni Pan, Sean Rintel
  
  International Journal of Human-Computer Studies | November 2025, 제 205 권
  
  PDF DOI 프로젝트 프로젝트
- Designing Interfaces that Support Temporal Work Across Meetings with Generative AI
  
  Rishi Vanukuru, Payod Panda, Xinyue Chen, Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  DIS2025 | July 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
  
  Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
  
  CHIWORK 2025 | June 2025
  
  Microsoft Foundry Labs
  
  PDF DOI 동영상 Access 프로젝트 프로젝트 프로젝트
- AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
  
  Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, Yuanting Liu, Yvonne Rogers, Mariam Hassib
  
  CHI 2025 | May 2025
  
  PDF DOI 프로젝트 프로젝트
- YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking
  
  Pratik Ghosh, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
  
  Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
  
  Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Cecily Morrison, Martin Grayson
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication 프로젝트
- The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
  
  Auste Simkute, Viktor Kewenig, Abigail Sellen, Sean Rintel, Lev Tankelevitch
  
  arxiv | January 2025
  
  Preprint 프로젝트 프로젝트 프로젝트
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  
  Auste Simkute, Lev Tankelevitch, Victor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  International Journal of Human–Computer Interaction | October 2024
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic
  
  Sean Rintel
  
  Discourse & Communication | August 2024
  
  PDF DOI 프로젝트 프로젝트
- The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  DIS 2024 | July 2024
  
  PDF DOI 프로젝트 프로젝트
- “It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  
  Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
  
  CHIWORK 2024 | June 2024
  
  PDF DOI 프로젝트 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  CHI EA 2024 | May 2024
  
  PDF DOI 프로젝트 프로젝트
- Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
  
  Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  CHI 2024 | May 2024
  
  PDF DOI Publication 프로젝트 프로젝트
- The Metacognitive Demands and Opportunities of Generative AI
  
  Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
  
  CHI ’24 | May 2024
  
  Best Paper, CHI 2024
  
  Preprint DOI Preprint 동영상 프로젝트 프로젝트 프로젝트
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Large-Scale Analysis of New Employee Network Dynamics
  
  Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
  
  The Web Conference 2023 | April 2023
  
  Publication 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Gigified Knowledge Work: Understanding Knowledge Gaps when Knowledge Work and On-Demand Work Intersect
  
  Denise Wilkins, Srihari Hulikal Muralidhar, Max Meijer, Laura Lascău, Siân Lindley
  
  Proceedings of ACM on Human-Computer Interaction | April 2022, 제 6 권(CSCW1)
  
  Article No. 93
  
  PDF DOI 프로젝트 프로젝트
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint 프로젝트
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication 프로젝트
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 동영상 동영상 프로젝트
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 동영상 프로젝트
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication 프로젝트
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication 프로젝트
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication 프로젝트 프로젝트
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github 프로젝트 프로젝트
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication 프로젝트
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication 프로젝트 프로젝트
- Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) | April 2025
  
  PDF 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
  
  Advait Sarkar, Ian Drosos, Robert DeLIne, Andy Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Ben Zorn
  
  Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023) | August 2023
  
  PDF 프로젝트 프로젝트 프로젝트
- LinkingPark: An automatic semantic table interpretation system
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
  
  Journal of Web Semantics | June 2022
  
  DOI 프로젝트 프로젝트 프로젝트
- LinkingPark: An Integrated Approach for Semantic Table Interpretation
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Andy Gordon, Chin-Yew Lin
  
  ISWC 2020 SemTab Workshop | December 2020
  
  편집자: Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
  
  2nd Prize in SemTab Competition
  
  PDF 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
  
  Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
  
  ACM Symposium on User Interface Software and Technology | October 2024
  
  Preprint 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- LinkingPark: An automatic semantic table interpretation system
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
  
  Journal of Web Semantics | June 2022
  
  DOI 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools
  
  Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell
  
  Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024
  
  PDF Publication 프로젝트 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- FxD: a functional debugger for dysfunctional spreadsheets
  
  Ian Drosos, Nicholas Wilson, Andy Gordon, Sruti Srinivasa Ragavan, Jack Williams
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Best Paper, Honorable Mention
  
  Publication 프로젝트 프로젝트
- Co-audit: tools to help humans double-check AI-generated content
  
  Andy Gordon, Carina Negreanu, José Cambronero, Rasika Mudumbai Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson (nee Murfet), Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
  
  October 2023
  
  Preprint 프로젝트 프로젝트
- ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code
  
  Kasra Ferdowsi, Jack Williams, Ian Drosos, Andy Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Ben Zorn
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Publication 프로젝트 프로젝트 프로젝트
- “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
  
  Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andy Gordon
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | April 2023
  
  Honorable mention
  
  PDF Publication DOI 동영상 프로젝트 프로젝트
- End-user encounters with lambda abstraction in spreadsheets: Apollo’s bow or Achilles’ heel?
  
  Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andy Gordon
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2022
  
  PDF 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Where-Provenance for Bidirectional Editing in Spreadsheets
  
  Jack Williams, Andy Gordon
  
  VL/HCC 2021 | October 2021
  
  Pre-print. Full publication will be available from IEEE.
  
  Publication 프로젝트
- Understanding and Inferring Units in Spreadsheets
  
  Jack Williams, Carina Negreanu, Andy Gordon, Advait Sarkar
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | July 2020
  
  Publication DOI 프로젝트
- Spreadsheet Use and Programming Experience: an Exploratory Survey
  
  Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andy Gordon, Jack Williams
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Gridlets: Reusing Spreadsheet Grids
  
  Nima Joharizadeh, Advait Sarkar, Jack Williams, Andy Gordon
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication 프로젝트
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
  
  Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
  
  Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022 | September 2022
  
  Preprint PDF 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
  
  Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon, Chin-Yew Lin
  
  TheWebConf 2022 | April 2022
  
  Publication
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트

- Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
  
  Jinyang Li , Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng
  
  NeurIPS 2025 | October 2025
  
  Publication
- Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing
  
  Fang Ma, Ju Zhang, Lev Tankelevitch, Torang Asadi, Charlie Hewitt, Payod Panda, Lohit Petikam, Marco Gillies, Xenui Pan, Sean Rintel, Marta Wilczkowiak (SHE/HER)
  
  CSCW 2025 | October 2025
  
  PDF Publication Preprint 프로젝트 프로젝트
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools
  
  Abdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim
  
  2025 Conference on AI, Ethics and Society | August 2025
  
  Publication 프로젝트
- Designing Interfaces that Support Temporal Work Across Meetings with Generative AI
  
  Rishi Vanukuru, Payod Panda, Xinyue Chen, Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  DIS2025 | July 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
  
  Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
  
  CHIWORK 2025 | June 2025
  
  Microsoft Foundry Labs
  
  PDF DOI 동영상 Access 프로젝트 프로젝트 프로젝트
- What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection
  
  Ava Elizabeth Scott, Lev Tankelevitch, Payod Panda, Rishi Vanukuru, Xinyue Chen, Sean Rintel
  
  CHIWORK 2025 | June 2025
  
  Preprint DOI 프로젝트 프로젝트 프로젝트 프로젝트
- AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
  
  Leon Reicherts, Zelun Tony Zhang, Elisabeth von Oswald, Yuanting Liu, Yvonne Rogers, Mariam Hassib
  
  CHI 2025 | May 2025
  
  PDF DOI 프로젝트 프로젝트
- Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) | April 2025
  
  PDF 프로젝트
- YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking
  
  Pratik Ghosh, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
  
  Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
  
  Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel
  
  CHI 2025 | April 2025
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India
  
  Cecily Morrison
  
  CHI 2025 | April 2025
  
  Publication 프로젝트
- “Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers
  
  Cecily Morrison, Martin Grayson
  
  CHI Conference on Human Machine Interaction | April 2025
  
  Publication 프로젝트
- Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User
  
  Jeremy Zhengqi Huang, Jaylin Herskovitz , Liang-Yuan Wu, Cecily Morrison, Dhruv Jain
  
  2025 CHI Conference on Human Computer Interaction | February 2025
  
  Author's Version 프로젝트
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools
  
  Michael Jing Long Lee, Advait Sarkar, Alan F. Blackwell
  
  Proceedings of the 35th Annual Conference of the Psychology of Programming Interest Group (PPIG 2024) | October 2024
  
  PDF Publication 프로젝트 프로젝트
- Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
  
  Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
  
  ACM Symposium on User Interface Software and Technology | October 2024
  
  Preprint 프로젝트
- The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  DIS 2024 | July 2024
  
  PDF DOI 프로젝트 프로젝트
- Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI
  
  Srishti Palani, Gonzalo Ramos
  
  Creativity and Cognition | June 2024
  
  Publication 프로젝트
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication 동영상 동영상 프로젝트
- Solving Data-centric Tasks using Large Language Models
  
  Shraddha Barke, Christian Poelitz, Carina Negreanu, Ben Zorn, José Cambronero, Andy Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics | June 2024
  
  Publication
- “It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  
  Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
  
  CHIWORK 2024 | June 2024
  
  PDF DOI 프로젝트 프로젝트
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF 프로젝트 프로젝트
- CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings
  
  Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel
  
  CHI EA 2024 | May 2024
  
  PDF DOI 프로젝트 프로젝트
- Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
  
  Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
  
  CHI 2024 | May 2024
  
  PDF DOI Publication 프로젝트 프로젝트
- The Metacognitive Demands and Opportunities of Generative AI
  
  Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
  
  CHI ’24 | May 2024
  
  Best Paper, CHI 2024
  
  Preprint DOI Preprint 동영상 프로젝트 프로젝트 프로젝트
- Learning Safety Constraints from Demonstrations with Unknown Rewards
  
  David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
  
  International Conference on Artificial Intelligence and Statistics | April 2024
  
  DOI PDF
- A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
  
  Anna Gausen, Bhaskar Mitra, Siân Lindley
  
  ACM Conference on Fairness, Accountability, and Transparency | March 2024
  
  Publication Preprint PDF 프로젝트 프로젝트
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication 프로젝트
- Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
  
  Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E Turner
  
  Conference on Lifelong Learning Agents | November 2023
  
  DOI PDF
- FxD: a functional debugger for dysfunctional spreadsheets
  
  Ian Drosos, Nicholas Wilson, Andy Gordon, Sruti Srinivasa Ragavan, Jack Williams
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Best Paper, Honorable Mention
  
  Publication 프로젝트 프로젝트
- ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code
  
  Kasra Ferdowsi, Jack Williams, Ian Drosos, Andy Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Ben Zorn
  
  IEEE Symposium on Visual Languages and Human-Centric Computing | October 2023
  
  Publication 프로젝트 프로젝트 프로젝트
- Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
  
  Advait Sarkar, Ian Drosos, Robert DeLIne, Andy Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Ben Zorn
  
  Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023) | August 2023
  
  PDF 프로젝트 프로젝트 프로젝트
- Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
  
  Advait Sarkar
  
  Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
  
  PDF DOI 프로젝트 프로젝트
- Contrastive Meta-Learning for Partially Observable Few-Shot Learning
  
  Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
  
  ICLR | May 2023
  
  Publication 프로젝트
- Trust Region Bounds for Decentralized PPO Under Non-stationarity
  
  Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
  
  Best Paper Award
  
  Publication 프로젝트
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication 프로젝트
- Imitating Human Behaviour with Diffusion Models
  
  Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
  
  ICLR 2023 | May 2023
  
  Publication
- Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
  
  Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Stevenson, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
  
  CHI | April 2023
  
  Publication 프로젝트
- “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
  
  Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andy Gordon
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | April 2023
  
  Honorable mention
  
  PDF Publication DOI 동영상 프로젝트 프로젝트
- Large-Scale Analysis of New Employee Network Dynamics
  
  Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
  
  The Web Conference 2023 | April 2023
  
  Publication 프로젝트 프로젝트
- Collaboration in relation to Human-AI Systems: Status, Trends, and Impact
  
  António Correia, Siân Lindley
  
  IEEE BigData | December 2022
  
  Publication
- Uni[MASK]: Unified Inference in Sequential Decision Problems
  
  Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
  
  2022 Neural Information Processing Systems | November 2022
  
  Publication 프로젝트
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
  
  Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
  
  Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022 | September 2022
  
  Preprint PDF 프로젝트 프로젝트
- Imitating Playstyle with Dynamic Time Warping Imitation
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
  
  International Conference on the Foundations of Digital Games (FDG) | September 2022
  
  Publication
- End-user encounters with lambda abstraction in spreadsheets: Apollo’s bow or Achilles’ heel?
  
  Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andy Gordon
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2022
  
  PDF 프로젝트
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication 프로젝트 프로젝트
- Ways of Seeing and Being Seen: People in the Algorithmic Knowledge Base
  
  Ida Larsen-Ledet, Siân Lindley
  
  ECSCW 2022 workshop on CSCW and Algorithmic Systems | June 2022
  
  Accepted for inclusion at the workshop on "CSCW and Algorithmic Systems" at the 20th European Conference on Computer-Supported Cooperative Work.
  
  Publication 프로젝트
- How Humans Perceive Human-like Behavior in Video Game Navigation
  
  Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  CHI 2022 | April 2022
  
  Publication 프로젝트
- Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
  
  Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon, Chin-Yew Lin
  
  TheWebConf 2022 | April 2022
  
  Publication
- Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
  
  Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
  
  AAAI 2022 | February 2022
  
  Publication
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github 프로젝트
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication 프로젝트 프로젝트
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github 프로젝트 프로젝트
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF 프로젝트
- Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen
  
  ASSETS 2021 | October 2021
  
  Best Paper Nominee
  
  Publication 프로젝트
- Where-Provenance for Bidirectional Editing in Spreadsheets
  
  Jack Williams, Andy Gordon
  
  VL/HCC 2021 | October 2021
  
  Pre-print. Full publication will be available from IEEE.
  
  Publication 프로젝트
- Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
  
  Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
  
  PDF
- Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
  
  Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
  
  2021 International Conference on Machine Learning | July 2021
  
  Source code available at: https://github.com/microsoft/NTT
  
  Publication 동영상 Github 프로젝트
- TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
  
  Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Preprint
- Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
  
  Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
  
  2021 International Conference on Machine Learning | July 2021
  
  Preprint
- Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
  
  Batu Aytemiz, Mikhail Jacob, Sam Devlin
  
  CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
  
  Author's Version 프로젝트
- Bedtime Window: A Field Study Connecting Bedrooms of Long-Distance Couples Using a Slow Photo-Stream and Shared Real-Time Inking
  
  Jan Kučera, James Scott, Siân Lindley, Patrick Olivier
  
  CHI | May 2021
  
  Publication
- Difference Rewards Policy Gradients
  
  Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 동영상 프로젝트
- Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
  
  Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint PDF 동영상 프로젝트
- Evaluating the Robustness of Collaborative Agents
  
  Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca Dragan, Rohin Shah
  
  20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
  
  Preprint 프로젝트
- Social Sensemaking with AI: Designing an Open-ended AI experience with a Blind Child
  
  Cecily Morrison, Ed Cutrell, Martin Grayson, Anja Thieme, Alex S Taylor, Geert Roumen, Camilla Longden, Rita Faia Marques, Abigail Sellen, Sebastian Tschiatschek
  
  The CHI Conference on Human Factors in Computing Systems | April 2021
  
  Publication 프로젝트 프로젝트
- LinkingPark: An Integrated Approach for Semantic Table Interpretation
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Andy Gordon, Chin-Yew Lin
  
  ISWC 2020 SemTab Workshop | December 2020
  
  편집자: Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
  
  2nd Prize in SemTab Competition
  
  PDF 프로젝트 프로젝트 프로젝트
- “It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
  
  Mikhail Jacob, Sam Devlin, Katja Hofmann
  
  16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
  
  AIIDE 2020 BEST PAPER AWARD
  
  Best paper award winner.
  
  Author's Version 프로젝트
- Player Style Clustering without Game Variables
  
  Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
  
  FDG ’20: International Conference on the Foundations of Digital Games | September 2020
  
  Publication
- Understanding and Inferring Units in Spreadsheets
  
  Jack Williams, Carina Negreanu, Andy Gordon, Advait Sarkar
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | July 2020
  
  Publication DOI 프로젝트
- Variational Integrator Networks for Physically Meaningful Embeddings
  
  Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
  
  Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020
  
  Author's Version 프로젝트
- Combining No-regret and Q-learning
  
  Ian A. Kash, Michael Sullins, Katja Hofmann
  
  2020 Adaptive Agents and Multi-Agents Systems | May 2020
  
  Publication Publication 프로젝트
- A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds
  
  Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
  
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020
  
  Author's Version 프로젝트
- Spreadsheet Use and Programming Experience: an Exploratory Survey
  
  Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andy Gordon, Jack Williams
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Gridlets: Reusing Spreadsheet Grids
  
  Nima Joharizadeh, Advait Sarkar, Jack Williams, Andy Gordon
  
  38th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI ’20 Extended Abstracts) | April 2020
  
  PDF DOI Publication 프로젝트
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication 프로젝트
- VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Conservative Uncertainty Estimation By Fitting Prior Networks
  
  Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF Github 프로젝트 프로젝트
- AMRL: Aggregated Memory For Reinforcement Learning
  
  Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
  
  Eighth International Conference on Learning Representations (ICLR) | April 2020
  
  Publication PDF 프로젝트 프로젝트
- Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
  
  Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Publication 프로젝트
- Better Exploration with Optimistic Actor-Critic
  
  Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
  
  33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF 프로젝트
- Reinforcement Learning: Past, Present, and Future Perspectives
  
  Katja Hofmann
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  Tutorial
  
  Publication 동영상
- Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
  
  David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, Jose Miguel Hernandez Lobato, Sebastian Tschiatschek
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  프로젝트 프로젝트
- The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang
  
  Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019
  
  Author's Version 프로젝트
- Minecraft as AI Playground and Laboratory
  
  Katja Hofmann
  
  Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019
  
  Opening keynote (extended abstract)
  
  Publication 프로젝트
- Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
  
  Rémy Portelas, Pierre-Yves Oudeyer, Cédric Colas, Katja Hofmann
  
  Third Conference on Robot Learning (CoRL) | October 2019
  
  Publication Author's Version 동영상
- MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
  
  Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication Github
- A Generalized Framework for Self-Play Training
  
  Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
  
  IEEE Conference on Games | August 2019
  
  Publication
- Win or Learn Fast Proximal Policy Optimisation
  
  Dino Ratcliffe, Katja Hofmann, Sam Devlin
  
  IEEE Conference on Games | August 2019
  
  Publication
- Fast Context Adaptation via Meta-Learning
  
  Luisa Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
  
  Thirty-sixth International Conference on Machine Learning (ICML) | June 2019
  
  Author's Version
- Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
  
  Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
  
  The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
  
  Publication
- Combining No-regret and Q-learning (2018)
  
  Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.
  
  PDF 프로젝트
- Learning good policies from suboptimal demonstrations
  
  Yuxiang Li, Ian Kash, Katja Hofmann
  
  The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018
  
  PDF
- Advancements in Dueling Bandits
  
  Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
  
  Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence | July 2018
  
  Publication
- Depth and nonlinearity induce implicit exploration for RL
  
  Justas Dauparas, Ryota Tomioka, Katja Hofmann
  
  ICML workshop on Exploration in RL | July 2018
  
  Publication
- “I can do everything but see!” — How People with Vision Impairments Negotiate their Abilities in Social Contexts
  
  Anja Thieme, Cynthia L. Bennett, Cecily Morrison, Ed Cutrell, Alex S. Taylor
  
  2018 Human Factors in Computing Systems | April 2018
  
  DOI PDF 프로젝트 프로젝트
- A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
  
  Felix Leibfried, Nate Kushman, Katja Hofmann
  
  ICML workshop on Principled Approaches to Deep Learning | August 2017
  
  Publication
- Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  CHI EA ’17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017
  
  Publication Publication Publication 프로젝트
- Memory Lens – How Much Memory Does an Agent Use?
  
  Christoph Dann, Katja Hofmann, Sebastian Nowozin
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016
  
  Publication PDF 프로젝트
- Decoding multitask DQN in the world of Minecraft
  
  Lydia T. Liu, Urun Dogan, Katja Hofmann
  
  The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016
  
  Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.
  
  PDF 프로젝트
- The Malmo Platform for Artificial Intelligence Experimentation
  
  Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann
  
  25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016
  
  Publication 동영상 프로젝트
- Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools
  
  Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates
  
  Computers & Education | November 2025
  
  Preprint PDF 프로젝트 프로젝트 프로젝트 프로젝트
- Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception
  
  Georgiana Cristina Dobre, Marta Wilczkowiak (SHE/HER), Marco Gillies, Xueni Pan, Sean Rintel
  
  International Journal of Human-Computer Studies | November 2025, 제 205 권
  
  PDF DOI 프로젝트 프로젝트
- Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
  
  Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo Ramos, Yvonne Rogers, Hari Subramonyam
  
  ArXiv | August 2025
  
  Preprint 프로젝트
- World and Human Action Models towards gameplay ideation
  
  Anssi Kanervisto, Dave Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
  
  Nature | February 2025, 제 638 권: pp. 656-663
  
  DOI Publication 동영상 Access
- The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
  
  Auste Simkute, Viktor Kewenig, Abigail Sellen, Sean Rintel, Lev Tankelevitch
  
  arxiv | January 2025
  
  Preprint 프로젝트 프로젝트 프로젝트
- Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  
  Auste Simkute, Lev Tankelevitch, Victor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  International Journal of Human–Computer Interaction | October 2024
  
  PDF DOI 프로젝트 프로젝트 프로젝트
- Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic
  
  Sean Rintel
  
  Discourse & Communication | August 2024
  
  PDF DOI 프로젝트 프로젝트
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI 동영상 프로젝트
- Building Knowledge through Action: Considerations for Machine Learning in the Workplace
  
  Siân Lindley, Denise Wilkins
  
  ACM Transactions on Computer-Human Interaction | October 2023, 제 30 권(5)
  
  Publication 프로젝트 프로젝트
- Go-Explore Complex 3D Game Environments for Automated Reachability Testing
  
  Cong Lu, Raluca Stevenson, Johan Verwey
  
  IEEE Transactions on Games | December 2022, pp. 1-6
  
  Publication
- LinkingPark: An automatic semantic table interpretation system
  
  Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
  
  Journal of Web Semantics | June 2022
  
  DOI 프로젝트 프로젝트 프로젝트
- Gigified Knowledge Work: Understanding Knowledge Gaps when Knowledge Work and On-Demand Work Intersect
  
  Denise Wilkins, Srihari Hulikal Muralidhar, Max Meijer, Laura Lascău, Siân Lindley
  
  Proceedings of ACM on Human-Computer Interaction | April 2022, 제 6 권(CSCW1)
  
  Article No. 93
  
  PDF DOI 프로젝트 프로젝트
- Designing AI Systems that make Organizational Knowledge Actionable
  
  Denise Wilkins, Siân Lindley, Max Meijer, Richard Banks, Britta Burlin
  
  Interactions | November 2020, 제 27 권(6): pp. 72-75
  
  DOI Publication 프로젝트
- Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  
  Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
  
  IEEE Transactions on Games | March 2020
  
  Publication Preprint
- How Players Speak to an Intelligent Game Character Using Natural Language Messages
  
  Fraser Allison, Ewa Luger, Katja Hofmann
  
  Transactions of the Digital Games Research Association | December 2018, 제 4 권(2): pp. 1-49
  
  Publication 프로젝트
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint 프로젝트
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 동영상 프로젝트 프로젝트 프로젝트
- Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
  
  Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
  
  January 2024
  
  Preprint 프로젝트 프로젝트
- Transformer Neural Autoregressive Flows
  
  Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E Turner
  
  January 2024
  
  Publication
- Co-audit: tools to help humans double-check AI-generated content
  
  Andy Gordon, Carina Negreanu, José Cambronero, Rasika Mudumbai Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson (nee Murfet), Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
  
  October 2023
  
  Preprint 프로젝트 프로젝트
- Content Repurposing in Knowledge Work: Implications for Generative AI
  
  Siân Lindley, Chris Elsden, Hanna Moser, Amid Ayobi
  
  April 2023
  
  Presented at the CHI 2023 Workshop on Generative AI and HCI
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
  
  William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
  
  January 2021
  
  Preprint 프로젝트
- Microsoft New Future of Work Report 2024
  
  Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
  
  MSR-TR-2024-56 | December 2024
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Toward Human-AI Alignment in Large-Scale Multi-Player Games
  
  Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
  
  arXiv:2402.03575 | February 2024
  
  글쓴이 Microsoft
  
  DOI 프로젝트
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  글쓴이 Microsoft
  
  Publication 동영상 동영상 동영상 동영상 동영상 동영상 프로젝트 프로젝트 프로젝트 프로젝트
- The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
  
  Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
  
  1901.08129 | January 2019
  
  글쓴이 Arxiv
  
  Publication 프로젝트
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  글쓴이 Microsoft
  
  Publication Publication 프로젝트 프로젝트
- The Atari Grand Challenge Dataset
  
  Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
  
  MSR-TR-2017-61 | May 2017
  
  글쓴이 Microsoft
  
  Publication
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication 프로젝트
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
  
  Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel
  
  February 2024
  
  Author's Version 프로젝트 프로젝트

People-Centric AI

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Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools

Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception

Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing

Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI Tools

Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop

Designing Interfaces that Support Temporal Work Across Meetings with Generative AI

Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks

What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection

AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support

“Put Your Hands Up”: How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings

Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in India

The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers

Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI

YES AND: A Generative AI Multi-Agent Framework for Enhancing Diversity of Thought in Individual Ideation for Problem-Solving Through Confidence-Based Agent Turn-Taking

World and Human Action Models towards gameplay ideation

Weaving Sound Information to Support Deaf and Hard of Hearing People’s Real-time Sensemaking of Auditory Environments: Co-designing with a DHH User

The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education

The USC Annenberg Relevance Report 2025

Microsoft New Future of Work Report 2024

Scaling Laws for Pre-training Agents and World Models

AI Should Challenge, Not Obey

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition

Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction

Predictability of identifier naming with Copilot: A case study for mixed-initiative programming tools

Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic

The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings

Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI

Explaining CLIP’s performance disparities on data from blind/low vision users

“It’s like a rubber duck that talks back”: Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study

Solving Data-centric Tasks using Large Language Models

Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision

CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video Meetings

Large Language Models Cannot Explain Themselves

Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies

The Metacognitive Demands and Opportunities of Generative AI

Learning Safety Constraints from Demonstrations with Unknown Rewards

A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

Toward Human-AI Alignment in Large-Scale Multi-Player Games

Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems

Transformer Neural Autoregressive Flows

Microsoft New Future of Work Report 2023

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

FxD: a functional debugger for dysfunctional spreadsheets

Building Knowledge through Action: Considerations for Machine Learning in the Workplace

Co-audit: tools to help humans double-check AI-generated content

ColDeco: An End User Spreadsheet Inspection Tool for AI-Generated Code

Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows

Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots

Contrastive Meta-Learning for Partially Observable Few-Shot Learning

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

Imitating Human Behaviour with Diffusion Models

Trust Region Bounds for Decentralized PPO Under Non-stationarity

Content Repurposing in Knowledge Work: Implications for Generative AI

“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Large-Scale Analysis of New Employee Network Dynamics

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games

Go-Explore Complex 3D Game Environments for Automated Reachability Testing

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Uni[MASK]: Unified Inference in Sequential Decision Problems

Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems

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Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency