AI Should Challenge, Not Obey
October 2024
CACM Cover Story
Advait Sarkar
Senior Researcher
Publications
Publications by Year
-
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
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
“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
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
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
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
“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
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
-
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
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
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
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
-
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
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
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
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
Published by Microsoft Research
-
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
Published by Microsoft Research
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, Vol 30(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
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
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
-
End-User Probabilistic Programming
Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto
International Conference on Quantitative Evaluation of Systems | September 2019
Editor(s): David Parker and Verena Wolf
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
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
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
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
-
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
How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
-
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
Publications by Research Area
-
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
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
“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
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
“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
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
-
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
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
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
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
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
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
Published by Microsoft Research
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
Published by Microsoft Research
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, Vol 30(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
Editor(s): David Parker and Verena Wolf
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
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
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
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
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
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
How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
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
-
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
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
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
“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
“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, Vol 30(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
Editor(s): 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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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
“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
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
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
Published by Microsoft Research
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
Published by Microsoft Research
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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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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
Publications by Type
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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
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
“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
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
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
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
Editor(s): David Parker and Verena Wolf
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
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
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
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
How do people learn to use spreadsheets? (Work in progress)
Advait Sarkar, Andy Gordon
Psychology of Programming Interest Group (PPIG) | September 2018
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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AI Should Challenge, Not Obey
October 2024
CACM Cover Story
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
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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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, Vol 30(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
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Excello: exploring spreadsheets for music composition
Henry Mattinson, Advait Sarkar
July 2020
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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
Published by Microsoft Research
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
Published by Microsoft Research