TEDAI 2025: Artificial Intelligence as a Tool for Thought
Advait Sarkar, Sean Rintel, Richard Banks
September 2025
Advait Sarkar
Senior Researcher
论文与出版物
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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
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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
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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
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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
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The USC Annenberg Relevance Report 2025
Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
December 2024
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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
作者：Microsoft
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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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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
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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
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“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
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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
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Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
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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
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Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
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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
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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
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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
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Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
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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
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“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
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Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
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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
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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
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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
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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
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“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
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Is explainable AI a race against model complexity?
Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
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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
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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
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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
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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
作者：Microsoft Research
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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
作者：Microsoft Research
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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, 第 30 卷(e26)
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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
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Excello: exploring spreadsheets for music composition
Henry Mattinson, Advait Sarkar
July 2020
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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
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Higher-Order Spreadsheets with Spilled Arrays
Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
European Symposium on Programming | April 2020
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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
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End-User Probabilistic Programming
Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
International Conference on Quantitative Evaluation of Systems | September 2019
编辑: David Parker and Verena Wolf
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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
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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
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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
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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
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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
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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
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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
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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
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How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
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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
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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
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TEDAI 2025: Artificial Intelligence as a Tool for Thought
Advait Sarkar, Sean Rintel, Richard Banks
September 2025
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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
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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
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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
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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
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The USC Annenberg Relevance Report 2025
Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
December 2024
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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
作者：Microsoft
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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
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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
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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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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
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“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
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Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
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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
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Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
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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
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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
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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
-
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
-
“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
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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
-
Is explainable AI a race against model complexity?
Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
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TEDAI 2025: Artificial Intelligence as a Tool for Thought
Advait Sarkar, Sean Rintel, Richard Banks
September 2025
-
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
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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
-
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
-
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
-
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
-
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
-
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
-
-
-
TEDAI 2025: Artificial Intelligence as a Tool for Thought
Advait Sarkar, Sean Rintel, Richard Banks
September 2025
-
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
-
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
-
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
-
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
-
The USC Annenberg Relevance Report 2025
Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
December 2024
-
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
作者：Microsoft
-
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
-
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
-
AI Should Challenge, Not Obey
October 2024
CACM Cover Story
-
“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
-
Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
-
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
-
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
-
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
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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
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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
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Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
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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
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Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
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“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
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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
-
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
-
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
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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
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“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
-
Is explainable AI a race against model complexity?
Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
-
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
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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
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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
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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
作者：Microsoft Research
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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
作者：Microsoft Research
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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, 第 30 卷(e26)
-
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
-
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
-
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
-
Higher-Order Spreadsheets with Spilled Arrays
Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
European Symposium on Programming | April 2020
-
End-User Probabilistic Programming
Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
International Conference on Quantitative Evaluation of Systems | September 2019
编辑: David Parker and Verena Wolf
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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
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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
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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
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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
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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
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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
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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
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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
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How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
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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
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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
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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
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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
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The USC Annenberg Relevance Report 2025
Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
December 2024
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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
作者：Microsoft
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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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“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
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Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
-
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
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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
-
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
-
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
-
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
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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
作者：Microsoft Research
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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
作者：Microsoft Research
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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
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-
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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
作者：Microsoft
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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
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-
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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
作者：Microsoft
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-
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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
作者：Microsoft
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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
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Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
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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
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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
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“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
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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
-
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
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“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
-
Is explainable AI a race against model complexity?
Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
-
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
-
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
-
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, 第 30 卷(e26)
-
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
-
Excello: exploring spreadsheets for music composition
Henry Mattinson, Advait Sarkar
July 2020
-
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
-
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
-
Higher-Order Spreadsheets with Spilled Arrays
Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
European Symposium on Programming | April 2020
-
End-User Probabilistic Programming
Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
International Conference on Quantitative Evaluation of Systems | September 2019
编辑: David Parker and Verena Wolf
-
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
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TEDAI 2025: Artificial Intelligence as a Tool for Thought
Advait Sarkar, Sean Rintel, Richard Banks
September 2025
-
The USC Annenberg Relevance Report 2025
Richard Banks, Advait Sarkar, Gonzalo Ramos, Leon Reicherts, Pratik Ghosh
December 2024
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Excello: exploring spreadsheets for music composition
Henry Mattinson, Advait Sarkar
July 2020
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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
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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
-
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, 第 30 卷(e26)
-
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
-
-
-
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
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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
-
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
-
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
-
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
-
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
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“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
-
Large Language Models Cannot Explain Themselves
ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI 2024) | May 2024
-
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
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Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward! 2023) | October 2023
-
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
-
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
-
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
Proceedings of the ACM Symposium on Human-Computer Interaction for Work (CHIWORK 2023) | June 2023
-
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
-
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA 2023) | April 2023
-
“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
-
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
-
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
-
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
-
“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
-
Is explainable AI a race against model complexity?
Workshop on Transparency and Explanations in Smart Systems (TeXSS), in conjunction with ACM Intelligent User Interfaces (IUI 2022) | March 2022
-
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
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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
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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
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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
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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
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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
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Higher-Order Spreadsheets with Spilled Arrays
Jack Williams, Nima Joharizadeh, Andy Gordon, Advait Sarkar
European Symposium on Programming | April 2020
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End-User Probabilistic Programming
Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
International Conference on Quantitative Evaluation of Systems | September 2019
编辑: David Parker and Verena Wolf
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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
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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
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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
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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
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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
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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
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How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
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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
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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
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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
作者：Microsoft
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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
作者：Microsoft Research
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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
作者：Microsoft Research
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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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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
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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
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