Advait Sarkar

Senior Researcher

出版物

表示方法:

- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- TEDAI 2025: Artificial Intelligence as a Tool for Thought
  
  Advait Sarkar, Sean Rintel, Richard Banks
  
  September 2025
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 動画アクセスプロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication プロジェクト
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- “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 プロジェクトプロジェクト
- 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
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- 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 動画プロジェクトプロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Is a Return To Office a Return To Creativity? Requiring Fixed Time In Office To Enable Brainstorms and Watercooler Talk May Not Foster Research Creativity
  
  Tianna Xu, Advait Sarkar, Sean Rintel
  
  CHIWORK 2023 | June 2023
  
  PDF DOI プロジェクトプロジェクトプロジェクト
- “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 動画プロジェクトプロジェクト
- Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
  
  Advait Sarkar
  
  Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19
  
  Rachel Bergman, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla Wong, Abigail Sellen
  
  Computer-Supported Cooperative Work | November 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings
  
  Carlos Gonzalez Diaz, John Tang, Advait Sarkar, Sean Rintel
  
  CHIWORK 2022 | June 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクト
- “It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in Spreadsheets
  
  George Chalhoub, Advait Sarkar
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2022
  
  PDF DOI プロジェクト
- Is explainable AI a race against model complexity?
  
  Advait Sarkar
  
  Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
  
  PDF プロジェクト
- Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author
  
  Sruti Srinivasa Ragavan, Advait Sarkar, Andy Gordon
  
  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- The Promise and Peril of Parallel Chat in Video Meetings for Work
  
  Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
  
  CHI 2021 | May 2021
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- TweakIt: Supporting End-User Programmers Who Transmogrify Code
  
  Samuel Lau, Advait Sarkar, Sruti Srinivasa Ragavan, Titus Barik
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- Parallel Meeting Chat Guide for Moderators and Participants
  
  Sharon Gillett, Danielle Bragg, Nancy Baym, Rachel Bergmann, Advait Sarkar, Sean Rintel, Abigail Sellen
  
  2021-02-FOW-SIM2 | February 2021
  
  Microsoft Research による投稿
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Methodology and Participation for 2020 Diary Study of Microsoft Employees Experiences in Remote Meetings During COVID-19
  
  Sean Rintel, Priscilla Wong, Advait Sarkar, Abigail Sellen
  
  2020-10-FOW-SIM1 | October 2020
  
  Microsoft Research による投稿
  
  PDF プロジェクトプロジェクトプロジェクト
- Elastic Sheet-Defined Functions: Generalising Spreadsheet Functions to Variable-Size Input Arrays
  
  Matt McCutchen, Judith Borghouts, Andy Gordon, Simon Peyton Jones, Advait Sarkar
  
  Journal of Functional Programming | August 2020, 巻30(e26)
  
  Publication DOI プロジェクト
- 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 プロジェクト
- Excello: exploring spreadsheets for music composition
  
  Henry Mattinson, Advait Sarkar
  
  July 2020
  
  Author's Version
- 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 プロジェクト
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication プロジェクト
- 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 プロジェクト
- End-User Probabilistic Programming
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
  
  International Conference on Quantitative Evaluation of Systems | September 2019
  
  編集者: David Parker and Verena Wolf
  
  PDF プロジェクト
- Comparative judgments are more consistent than binary classification for labelling word complexity
  
  Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F Blackwell
  
  Proceedings of the 13th Linguistic Annotation Workshop (LAW XIII), co-located with ACL 2019 | August 2019
  
  PDF Publication
- Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains
  
  Jesse Mu, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Perceptions of Chatbots in Therapy
  
  Samuel Bell, Clara Wood, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Kenton O'Hara, Neil Toronto
  
  May 2019
  
  Publication PDF プロジェクト
- Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model
  
  Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
  
  24th International Conference on Intelligent User interfaces (IUI 2019) | March 2019
  
  PDF DOI Publication
- Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System
  
  Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
  
  2nd Workshop on Explainable Smart Systems (ExSS 2019), held in conjunction with ACM Intelligent User Interfaces (IUI 2019) | March 2019
  
  PDF
- Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study
  
  Abigail Sellen, Advait Sarkar, Cecily Morrison, Peter Kontschieder
  
  Disability and Rehabilitation | February 2019
  
  DOI
- Calculation View: multiple-representation editing in spreadsheets
  
  Advait Sarkar, Andy Gordon, Simon Peyton Jones, Neil Toronto
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | October 2018
  
  PDF Publication DOI プロジェクト
- How do people learn to use spreadsheets? (Work in progress)
  
  Advait Sarkar, Andy Gordon
  
  Psychology of Programming Interest Group (PPIG) | September 2018
  
  PDF プロジェクト
- Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning
  
  Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley
  
  Proceedings of CHI 2016 | January 2016
  
  Publication
- Interactive visual machine learning in spreadsheets
  
  Advait Sarkar, Mateja Jamnik, Alan F Blackwell, Martin Spott
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2015
  
  DOI PDF Publication プロジェクト

- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- TEDAI 2025: Artificial Intelligence as a Tool for Thought
  
  Advait Sarkar, Sean Rintel, Richard Banks
  
  September 2025
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 動画アクセスプロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication プロジェクト
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- 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 動画プロジェクトプロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- “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 動画プロジェクトプロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- Is explainable AI a race against model complexity?
  
  Advait Sarkar
  
  Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
  
  PDF プロジェクト
- 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 プロジェクト
- Comparative judgments are more consistent than binary classification for labelling word complexity
  
  Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F Blackwell
  
  Proceedings of the 13th Linguistic Annotation Workshop (LAW XIII), co-located with ACL 2019 | August 2019
  
  PDF Publication
- Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains
  
  Jesse Mu, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model
  
  Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
  
  24th International Conference on Intelligent User interfaces (IUI 2019) | March 2019
  
  PDF DOI Publication
- Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System
  
  Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
  
  2nd Workshop on Explainable Smart Systems (ExSS 2019), held in conjunction with ACM Intelligent User Interfaces (IUI 2019) | March 2019
  
  PDF
- Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study
  
  Abigail Sellen, Advait Sarkar, Cecily Morrison, Peter Kontschieder
  
  Disability and Rehabilitation | February 2019
  
  DOI
- Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning
  
  Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley
  
  Proceedings of CHI 2016 | January 2016
  
  Publication
- Interactive visual machine learning in spreadsheets
  
  Advait Sarkar, Mateja Jamnik, Alan F Blackwell, Martin Spott
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2015
  
  DOI PDF Publication プロジェクト
- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- 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 プロジェクト
- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- TEDAI 2025: Artificial Intelligence as a Tool for Thought
  
  Advait Sarkar, Sean Rintel, Richard Banks
  
  September 2025
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 動画アクセスプロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication プロジェクト
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- “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 プロジェクトプロジェクト
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- 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 動画プロジェクトプロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Is a Return To Office a Return To Creativity? Requiring Fixed Time In Office To Enable Brainstorms and Watercooler Talk May Not Foster Research Creativity
  
  Tianna Xu, Advait Sarkar, Sean Rintel
  
  CHIWORK 2023 | June 2023
  
  PDF DOI プロジェクトプロジェクトプロジェクト
- Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
  
  Advait Sarkar
  
  Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- “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 動画プロジェクトプロジェクト
- Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19
  
  Rachel Bergman, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla Wong, Abigail Sellen
  
  Computer-Supported Cooperative Work | November 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- 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 プロジェクト
- Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings
  
  Carlos Gonzalez Diaz, John Tang, Advait Sarkar, Sean Rintel
  
  CHIWORK 2022 | June 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクト
- “It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in Spreadsheets
  
  George Chalhoub, Advait Sarkar
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2022
  
  PDF DOI プロジェクト
- Is explainable AI a race against model complexity?
  
  Advait Sarkar
  
  Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
  
  PDF プロジェクト
- The Promise and Peril of Parallel Chat in Video Meetings for Work
  
  Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
  
  CHI 2021 | May 2021
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author
  
  Sruti Srinivasa Ragavan, Advait Sarkar, Andy Gordon
  
  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- TweakIt: Supporting End-User Programmers Who Transmogrify Code
  
  Samuel Lau, Advait Sarkar, Sruti Srinivasa Ragavan, Titus Barik
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- Parallel Meeting Chat Guide for Moderators and Participants
  
  Sharon Gillett, Danielle Bragg, Nancy Baym, Rachel Bergmann, Advait Sarkar, Sean Rintel, Abigail Sellen
  
  2021-02-FOW-SIM2 | February 2021
  
  Microsoft Research による投稿
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Methodology and Participation for 2020 Diary Study of Microsoft Employees Experiences in Remote Meetings During COVID-19
  
  Sean Rintel, Priscilla Wong, Advait Sarkar, Abigail Sellen
  
  2020-10-FOW-SIM1 | October 2020
  
  Microsoft Research による投稿
  
  PDF プロジェクトプロジェクトプロジェクト
- Elastic Sheet-Defined Functions: Generalising Spreadsheet Functions to Variable-Size Input Arrays
  
  Matt McCutchen, Judith Borghouts, Andy Gordon, Simon Peyton Jones, Advait Sarkar
  
  Journal of Functional Programming | August 2020, 巻30(e26)
  
  Publication DOI プロジェクト
- 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 プロジェクト
- 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 プロジェクト
- 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 プロジェクト
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication プロジェクト
- End-User Probabilistic Programming
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
  
  International Conference on Quantitative Evaluation of Systems | September 2019
  
  編集者: David Parker and Verena Wolf
  
  PDF プロジェクト
- Comparative judgments are more consistent than binary classification for labelling word complexity
  
  Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F Blackwell
  
  Proceedings of the 13th Linguistic Annotation Workshop (LAW XIII), co-located with ACL 2019 | August 2019
  
  PDF Publication
- Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Kenton O'Hara, Neil Toronto
  
  May 2019
  
  Publication PDF プロジェクト
- Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains
  
  Jesse Mu, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Perceptions of Chatbots in Therapy
  
  Samuel Bell, Clara Wood, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model
  
  Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
  
  24th International Conference on Intelligent User interfaces (IUI 2019) | March 2019
  
  PDF DOI Publication
- Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System
  
  Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
  
  2nd Workshop on Explainable Smart Systems (ExSS 2019), held in conjunction with ACM Intelligent User Interfaces (IUI 2019) | March 2019
  
  PDF
- Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study
  
  Abigail Sellen, Advait Sarkar, Cecily Morrison, Peter Kontschieder
  
  Disability and Rehabilitation | February 2019
  
  DOI
- Calculation View: multiple-representation editing in spreadsheets
  
  Advait Sarkar, Andy Gordon, Simon Peyton Jones, Neil Toronto
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | October 2018
  
  PDF Publication DOI プロジェクト
- How do people learn to use spreadsheets? (Work in progress)
  
  Advait Sarkar, Andy Gordon
  
  Psychology of Programming Interest Group (PPIG) | September 2018
  
  PDF プロジェクト
- Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning
  
  Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley
  
  Proceedings of CHI 2016 | January 2016
  
  Publication
- Interactive visual machine learning in spreadsheets
  
  Advait Sarkar, Mateja Jamnik, Alan F Blackwell, Martin Spott
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2015
  
  DOI PDF Publication プロジェクト
- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- “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 動画プロジェクトプロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- 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 プロジェクト
- “It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in Spreadsheets
  
  George Chalhoub, Advait Sarkar
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2022
  
  PDF DOI プロジェクト
- Is explainable AI a race against model complexity?
  
  Advait Sarkar
  
  Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
  
  PDF プロジェクト
- Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author
  
  Sruti Srinivasa Ragavan, Advait Sarkar, Andy Gordon
  
  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- TweakIt: Supporting End-User Programmers Who Transmogrify Code
  
  Samuel Lau, Advait Sarkar, Sruti Srinivasa Ragavan, Titus Barik
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- Elastic Sheet-Defined Functions: Generalising Spreadsheet Functions to Variable-Size Input Arrays
  
  Matt McCutchen, Judith Borghouts, Andy Gordon, Simon Peyton Jones, Advait Sarkar
  
  Journal of Functional Programming | August 2020, 巻30(e26)
  
  Publication DOI プロジェクト
- 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 プロジェクト
- Excello: exploring spreadsheets for music composition
  
  Henry Mattinson, Advait Sarkar
  
  July 2020
  
  Author's Version
- 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 プロジェクト
- 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 プロジェクト
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication プロジェクト
- End-User Probabilistic Programming
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
  
  International Conference on Quantitative Evaluation of Systems | September 2019
  
  編集者: David Parker and Verena Wolf
  
  PDF プロジェクト
- Calculation View: multiple-representation editing in spreadsheets
  
  Advait Sarkar, Andy Gordon, Simon Peyton Jones, Neil Toronto
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | October 2018
  
  PDF Publication DOI プロジェクト
- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- 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 動画アクセスプロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication プロジェクト
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- “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 プロジェクトプロジェクト
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- 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 動画プロジェクトプロジェクトプロジェクト
- Is a Return To Office a Return To Creativity? Requiring Fixed Time In Office To Enable Brainstorms and Watercooler Talk May Not Foster Research Creativity
  
  Tianna Xu, Advait Sarkar, Sean Rintel
  
  CHIWORK 2023 | June 2023
  
  PDF DOI プロジェクトプロジェクトプロジェクト
- Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19
  
  Rachel Bergman, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla Wong, Abigail Sellen
  
  Computer-Supported Cooperative Work | November 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings
  
  Carlos Gonzalez Diaz, John Tang, Advait Sarkar, Sean Rintel
  
  CHIWORK 2022 | June 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクト
- The Promise and Peril of Parallel Chat in Video Meetings for Work
  
  Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
  
  CHI 2021 | May 2021
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- Parallel Meeting Chat Guide for Moderators and Participants
  
  Sharon Gillett, Danielle Bragg, Nancy Baym, Rachel Bergmann, Advait Sarkar, Sean Rintel, Abigail Sellen
  
  2021-02-FOW-SIM2 | February 2021
  
  Microsoft Research による投稿
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Methodology and Participation for 2020 Diary Study of Microsoft Employees Experiences in Remote Meetings During COVID-19
  
  Sean Rintel, Priscilla Wong, Advait Sarkar, Abigail Sellen
  
  2020-10-FOW-SIM1 | October 2020
  
  Microsoft Research による投稿
  
  PDF プロジェクトプロジェクトプロジェクト
- Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model
  
  Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
  
  24th International Conference on Intelligent User interfaces (IUI 2019) | March 2019
  
  PDF DOI Publication
- TEDAI 2025: Artificial Intelligence as a Tool for Thought
  
  Advait Sarkar, Sean Rintel, Richard Banks
  
  September 2025
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- Comparative judgments are more consistent than binary classification for labelling word complexity
  
  Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F Blackwell
  
  Proceedings of the 13th Linguistic Annotation Workshop (LAW XIII), co-located with ACL 2019 | August 2019
  
  PDF Publication
- Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains
  
  Jesse Mu, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI

- New Future of Work Report 2025
  
  Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young
  
  MSR-TR-2025-58 | December 2025
  
  Microsoft による投稿
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication プロジェクトプロジェクト
- Parallel Meeting Chat Guide for Moderators and Participants
  
  Sharon Gillett, Danielle Bragg, Nancy Baym, Rachel Bergmann, Advait Sarkar, Sean Rintel, Abigail Sellen
  
  2021-02-FOW-SIM2 | February 2021
  
  Microsoft Research による投稿
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Methodology and Participation for 2020 Diary Study of Microsoft Employees Experiences in Remote Meetings During COVID-19
  
  Sean Rintel, Priscilla Wong, Advait Sarkar, Abigail Sellen
  
  2020-10-FOW-SIM1 | October 2020
  
  Microsoft Research による投稿
  
  PDF プロジェクトプロジェクトプロジェクト
- TEDAI 2025: Artificial Intelligence as a Tool for Thought
  
  Advait Sarkar, Sean Rintel, Richard Banks
  
  September 2025
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- The USC Annenberg Relevance Report 2025
  
  Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
  
  December 2024
  
  Publication プロジェクト
- Excello: exploring spreadsheets for music composition
  
  Henry Mattinson, Advait Sarkar
  
  July 2020
  
  Author's Version
- 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 プロジェクト
- Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19
  
  Rachel Bergman, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla Wong, Abigail Sellen
  
  Computer-Supported Cooperative Work | November 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- Elastic Sheet-Defined Functions: Generalising Spreadsheet Functions to Variable-Size Input Arrays
  
  Matt McCutchen, Judith Borghouts, Andy Gordon, Simon Peyton Jones, Advait Sarkar
  
  Journal of Functional Programming | August 2020, 巻30(e26)
  
  Publication DOI プロジェクト
- Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study
  
  Abigail Sellen, Advait Sarkar, Cecily Morrison, Peter Kontschieder
  
  Disability and Rehabilitation | February 2019
  
  DOI
- 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 動画アクセスプロジェクトプロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- Large Language Models Cannot Explain Themselves
  
  Advait Sarkar
  
  ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
  
  PDF プロジェクトプロジェクト
- 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 動画プロジェクトプロジェクトプロジェクト
- Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
  
  Advait Sarkar
  
  Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Is a Return To Office a Return To Creativity? Requiring Fixed Time In Office To Enable Brainstorms and Watercooler Talk May Not Foster Research Creativity
  
  Tianna Xu, Advait Sarkar, Sean Rintel
  
  CHIWORK 2023 | June 2023
  
  PDF DOI プロジェクトプロジェクトプロジェクト
- Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
  
  Advait Sarkar
  
  Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
  
  PDF Publication DOI プロジェクトプロジェクト
- “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 動画プロジェクトプロジェクト
- What is it like to program with artificial intelligence?
  
  Advait Sarkar, Andy Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn
  
  Proceedings of the 33rd Annual Conference of the Psychology of Programming Interest Group (PPIG 2022) | September 2022
  
  PDF プロジェクトプロジェクト
- 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 プロジェクト
- Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings
  
  Carlos Gonzalez Diaz, John Tang, Advait Sarkar, Sean Rintel
  
  CHIWORK 2022 | June 2022
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクト
- “It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in Spreadsheets
  
  George Chalhoub, Advait Sarkar
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2022
  
  PDF DOI プロジェクト
- Is explainable AI a race against model complexity?
  
  Advait Sarkar
  
  Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
  
  PDF プロジェクト
- The Promise and Peril of Parallel Chat in Video Meetings for Work
  
  Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
  
  CHI 2021 | May 2021
  
  PDF DOI プロジェクトプロジェクトプロジェクトプロジェクトプロジェクト
- Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author
  
  Sruti Srinivasa Ragavan, Advait Sarkar, Andy Gordon
  
  CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- TweakIt: Supporting End-User Programmers Who Transmogrify Code
  
  Samuel Lau, Advait Sarkar, Sruti Srinivasa Ragavan, Titus Barik
  
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems | May 2021
  
  PDF DOI プロジェクト
- 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 プロジェクト
- 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 プロジェクト
- 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 プロジェクト
- Higher-Order Spreadsheets with Spilled Arrays
  
  Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
  
  European Symposium on Programming | April 2020
  
  PDF DOI Publication プロジェクト
- End-User Probabilistic Programming
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
  
  International Conference on Quantitative Evaluation of Systems | September 2019
  
  編集者: David Parker and Verena Wolf
  
  PDF プロジェクト
- Comparative judgments are more consistent than binary classification for labelling word complexity
  
  Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F Blackwell
  
  Proceedings of the 13th Linguistic Annotation Workshop (LAW XIII), co-located with ACL 2019 | August 2019
  
  PDF Publication
- Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains
  
  Jesse Mu, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Perceptions of Chatbots in Therapy
  
  Samuel Bell, Clara Wood, Advait Sarkar
  
  37th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI '19 Extended Abstracts) | May 2019
  
  PDF DOI
- Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model
  
  Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
  
  24th International Conference on Intelligent User interfaces (IUI 2019) | March 2019
  
  PDF DOI Publication
- Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System
  
  Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
  
  2nd Workshop on Explainable Smart Systems (ExSS 2019), held in conjunction with ACM Intelligent User Interfaces (IUI 2019) | March 2019
  
  PDF
- Calculation View: multiple-representation editing in spreadsheets
  
  Advait Sarkar, Andy Gordon, Simon Peyton Jones, Neil Toronto
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | October 2018
  
  PDF Publication DOI プロジェクト
- How do people learn to use spreadsheets? (Work in progress)
  
  Advait Sarkar, Andy Gordon
  
  Psychology of Programming Interest Group (PPIG) | September 2018
  
  PDF プロジェクト
- Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning
  
  Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley
  
  Proceedings of CHI 2016 | January 2016
  
  Publication
- Interactive visual machine learning in spreadsheets
  
  Advait Sarkar, Mateja Jamnik, Alan F Blackwell, Martin Spott
  
  IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | September 2015
  
  DOI PDF Publication プロジェクト
- AI Should Challenge, Not Obey
  
  Advait Sarkar
  
  October 2024
  
  CACM Cover Story
  
  Author's Version DOI 動画プロジェクトプロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty
  
  Judith Borghouts, Andy Gordon, Advait Sarkar, Kenton O'Hara, Neil Toronto
  
  May 2019
  
  Publication PDF プロジェクト

Advait Sarkar

出版物

New Future of Work Report 2025

TEDAI 2025: Artificial Intelligence as a Tool for Thought

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

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks

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

The USC Annenberg Relevance Report 2025

Microsoft New Future of Work Report 2024

AI Should Challenge, Not Obey

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

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

“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

Large Language Models Cannot Explain Themselves

The Metacognitive Demands and Opportunities of Generative AI

Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?

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

Is a Return To Office a Return To Creativity? Requiring Fixed Time In Office To Enable Brainstorms and Watercooler Talk May Not Foster Research Creativity

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

Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design

Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19

End-user encounters with lambda abstraction in spreadsheets: Apollo’s bow or Achilles’ heel?

What is it like to program with artificial intelligence?

Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings

“It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in Spreadsheets

Is explainable AI a race against model complexity?

Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author

The Promise and Peril of Parallel Chat in Video Meetings for Work

TweakIt: Supporting End-User Programmers Who Transmogrify Code

Parallel Meeting Chat Guide for Moderators and Participants

Methodology and Participation for 2020 Diary Study of Microsoft Employees Experiences in Remote Meetings During COVID-19

Elastic Sheet-Defined Functions: Generalising Spreadsheet Functions to Variable-Size Input Arrays

Understanding and Inferring Units in Spreadsheets

Excello: exploring spreadsheets for music composition

Gridlets: Reusing Spreadsheet Grids

Higher-Order Spreadsheets with Spilled Arrays

Spreadsheet Use and Programming Experience: an Exploratory Survey

End-User Probabilistic Programming

Comparative judgments are more consistent than binary classification for labelling word complexity

Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains

Perceptions of Chatbots in Therapy

Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty

Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model

Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System

Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support – a proof of concept study

Calculation View: multiple-representation editing in spreadsheets

How do people learn to use spreadsheets? (Work in progress)

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Interactive visual machine learning in spreadsheets

New Future of Work Report 2025

TEDAI 2025: Artificial Intelligence as a Tool for Thought

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

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks

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

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

The USC Annenberg Relevance Report 2025

Microsoft New Future of Work Report 2024

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

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

AI Should Challenge, Not Obey

Solving Data-centric Tasks using Large Language Models

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

Large Language Models Cannot Explain Themselves

The Metacognitive Demands and Opportunities of Generative AI

Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?

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

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

What is it like to program with artificial intelligence?

Is explainable AI a race against model complexity?

Understanding and Inferring Units in Spreadsheets

Comparative judgments are more consistent than binary classification for labelling word complexity

Do We Need Natural Language? Exploring Restricted Language Interfaces for Complex Domains