Advait Sarkar

104 papers A* 10A 2B 12C 1Journal 36Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace.
CoRR
Qing Xia, Marios Constantinides, Advait Sarkar, Duncan P. Brumby, Anna Louise Cox
2026 J jnl
An Experimental Comparison of Cognitive Forcing Functions for Execution Plans in AI-Assisted Writing: Effects On Trust, Overreliance, and Perceived Critical Thinking.
CoRR
Ahana Ghosh, Advait Sarkar, Siân Lindley, Christian Pölitz
2026 — conf
Generative Design and Vibe Coding: Rethinking The Design-Development Divide for UI Prototyping.
CHI Extended Abstracts
Xinqi Zhang, Hariharan Subramonyam, Advait Sarkar, Ian Drosos, Zichao Wang, Kyungho Lee, Veronica Pimenova, Xiang Anthony Chen, Kai Lukoff
2026 — conf
Tools for Thought: Understanding, Protecting, and Augmenting Human Cognition with Generative AI - From Vision to Implementation.
CHI Extended Abstracts
Zelun Tony Zhang, Nick von Felten, Leon Reicherts, Lev Tankelevitch, Zhitong Guan, Sean Rintel, Yue Fu, Jessica He, Kenneth Holstein, Advait Sarkar, Gonzalo A. Ramos, Anuschka Schmitt, Anjali Singh, Haotian Li, Srishti Palani, Peter Dalsgaard
2025 J jnl
"How do you even know that stuff?": Barriers to expertise sharing among spreadsheet users.
CoRR
Qing (Nancy) Xia, Advait Sarkar, Duncan P. Brumby, Anna Louise Cox
2025 J jnl
"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Work.
CoRR
Ian Drosos, Advait Sarkar, Xiaotong Xu, Neil Toronto
2025 J jnl
'How Do You Know That Stuff?': Barriers to Expertise Sharing Among Spreadsheet Users.
Proc. ACM Hum. Comput. Interact.
Qing (Nancy) Xia, Advait Sarkar, Duncan P. Brumby, Anna L. Cox
2025 — conf
AI Could Have Written This: Birth of a Classist Slur in Knowledge Work.
CHI Extended Abstracts
Advait Sarkar
2025 J jnl
Addressing the Agony of Recruitment for Human-centric Computing Studies.
ACM SIGSOFT Softw. Eng. Notes
Kashumi Madampe, John Grundy, Judith Good, Dulaji Hidellaarachchi, Jácome Cunha, Chris Brown, Peng Kuang, Reham Al Tamime, Ariful Islam Anik, Advait Sarkar, Wei Zhou, Shawal Khalid, Tommaso Turchi, Shavindra Wickramathilaka, Yue Jiang
2025 — conf
Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks.
CHIWORK
Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson, Sean Rintel, Payod Panda
2025 — conf
Empower Secondary School Teachers to Create ML-Supported Inquiry-Based Learning Activities.
AIED (1)
Xiaofei Zhou, Hanjia Lyu, Yuxin Sa, Mengfan Li, Advait Sarkar, Jiebo Luo, Michael Daley, Zhen Bai
2025 A* conf
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions.
AAAI
Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar
2025 — conf
Gluing Pizza, Eating Rocks, and Counting Rs in Strawberry: The Discursive Social Function of Stupid AI Answers.
CHIWORK
Advait Sarkar
2025 J jnl
Leveraging Test Driven Development with Large Language Models for Reliable and Verifiable Spreadsheet Code Generation: A Research Framework.
CoRR
Simon Thorne, Advait Sarkar
2025 J jnl
Product Manager Practices for Delegating Work to Generative AI: "Accountability must not be delegated to non-human actors".
CoRR
Mara Ulloa, Jenna L. Butler, Sankeerti Haniyur, Courtney Miller, Barrett Amos, Advait Sarkar, Margaret-Anne D. Storey
2025 — conf
The End of Programming as We Know It: Envisioning Radical Re-Conceptualizations of Co-Coding with AI.
Aarhus Conference (Adjunct)
Martin Jonsson, Jakob Tholander, Mattias Rost, Advait Sarkar, Ylva Fernaeus, Ahmed Kharrufa, Thomas Ludwig
2025 A* conf
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers.
CHI
Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
2025 — conf
Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI.
CHI Extended Abstracts
Lev Tankelevitch, Elena L. Glassman, Jessica He, Majeed Kazemitabaar, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo A. Ramos, Yvonne Rogers, Hari Subramonyam
2025 J jnl
Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop.
CoRR
Lev Tankelevitch, Elena L. Glassman, Jessica He, Aniket Kittur, Mina Lee, Srishti Palani, Advait Sarkar, Gonzalo A. Ramos, Yvonne Rogers, Hari Subramonyam
2025 J jnl
Vibe coding: programming through conversation with artificial intelligence.
CoRR
Advait Sarkar, Ian Drosos
2024 — conf
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study.
CHIWORK
Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
2024 J jnl
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study.
CoRR
Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
2024 J jnl
"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software.
CoRR
Ian Drosos, Advait Sarkar, Andrew D. Gordon
2024 J jnl
AI Should Challenge, Not Obey.
Commun. ACM
Advait Sarkar
2024 J jnl
AI Should Challenge, Not Obey.
CoRR
Advait Sarkar
2024 — conf
Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning.
CHI Extended Abstracts
Xiaofei Zhou, Jingwan Tang, Hanjia Lyu, Xinyi Liu, Zhenhao Zhang, Lichen Qin, Fiona Au, Advait Sarkar, Zhen Bai
2024 B conf
Diversity in Study Participants and a Critique of the "Representative Sample" in Human-Computer Interaction Research.
VL/HCC
Advait Sarkar
2024 J jnl
Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks.
CoRR
Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson
2024 J jnl
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions.
CoRR
Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar
2024 A* conf
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition.
UIST
Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Zachary Henley, Carina Negreanu, Advait Sarkar
2024 J jnl
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition.
CoRR
Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Z. Henley, Carina Negreanu, Advait Sarkar
2024 J jnl
Intention Is All You Need.
CoRR
Advait Sarkar
2024 J jnl
Large Language Models Cannot Explain Themselves.
CoRR
Advait Sarkar
2024 — conf
Solving Data-centric Tasks using Large Language Models.
NAACL-HLT (Findings)
Shraddha Barke, Christian Pölitz, Carina Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
2024 J jnl
Solving Data-centric Tasks using Large Language Models.
CoRR
Shraddha Barke, Christian Pölitz, Carina Suzana Negreanu, Benjamin G. Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
2024 A* conf
The Metacognitive Demands and Opportunities of Generative AI.
CHI
Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
2024 B conf
The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming.
VL/HCC
Qing (Nancy) Xia, Advait Sarkar, Duncan P. Brumby, Anna L. Cox
2024 J jnl
The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming.
CoRR
Qing (Nancy) Xia, Advait Sarkar, Duncan P. Brumby, Anna L. Cox
2024 J jnl
When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution.
CoRR
Advait Sarkar, Xiaotong Xu, Neil Toronto, Ian Drosos, Christian Pölitz
2023 A* conf
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.
CHI
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin G. Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
2023 J jnl
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.
CoRR
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
2023 B conf
COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code.
VL/HCC
Kasra Ferdowsi, Jack Williams, Ian Drosos, Andrew D. Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Benjamin Zorn
2023 J jnl
Co-audit: tools to help humans double-check AI-generated content.
CoRR
Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
2023 — conf
Enough With "Human-AI Collaboration".
CHI Extended Abstracts
Advait Sarkar
2023 J jnl
Enough With "Human-AI Collaboration".
CoRR
Advait Sarkar
2023 — conf
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots.
CHIWORK
Advait Sarkar
2023 J jnl
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots.
CoRR
Advait Sarkar
2023 — conf
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.
CHIWORK
Tianna Xu, Advait Sarkar, Sean Rintel
2023 J jnl
Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19.
Comput. Support. Cooperative Work.
Rachel Bergmann, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla N. Y. Wong, Abigail Sellen
2023 J jnl
Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows.
CoRR
Advait Sarkar, Ian Drosos, Rob DeLine, Andrew D. Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Benjamin G. Zorn
2023 — conf
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design.
CHI Extended Abstracts
Advait Sarkar
2023 J jnl
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design.
CoRR
Advait Sarkar
2023 J jnl
The Metacognitive Demands and Opportunities of Generative AI.
CoRR
Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
2023 J jnl
User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation?
CoRR
Bruno Tafur, Advait Sarkar
2023 — conf
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Onward!
Advait Sarkar
2023 J jnl
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
CoRR
Advait Sarkar
2022 A* conf
"It's Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in Spreadsheets.
CHI
George Chalhoub, Advait Sarkar
2022 B conf
End-user encounters with lambda abstraction in spreadsheets: Apollo's bow or Achilles' heel?
VL/HCC
Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andrew D. Gordon
2022 — conf
Is Explainable AI a Race Against Model Complexity? 192-199.
IUI Workshops
Advait Sarkar
2022 J jnl
Is explainable AI a race against model complexity?
CoRR
Advait Sarkar
2022 — conf
Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings.
CHIWORK
Carlos González Díaz, John C. Tang, Advait Sarkar, Sean Rintel
2022 — conf
What is it like to program with artificial intelligence?
PPIG
Advait Sarkar, Carina Negreanu, Ben Zorn, Sruti Srinivasa Ragavan, Christian Pölitz, Andrew D. Gordon
2022 J jnl
What is it like to program with artificial intelligence?
CoRR
Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Pölitz, Sruti Srinivasa Ragavan, Ben Zorn
2021 A* conf
Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author.
CHI
Sruti Srinivasa Ragavan, Advait Sarkar, Andrew D. Gordon
2021 — conf
TExSS: Transparency and Explanations in Smart Systems.
IUI Companion
Alison Marie Smith-Renner, Styliani Kleanthous Loizou, Jonathan Dodge, Casey Dugan, Min Kyung Lee, Brian Y. Lim, Tsvi Kuflik, Advait Sarkar, Avital Shulner-Tal, Simone Stumpf
2021 — conf
The promise and peril of parallel chat in video meetings for work.
CHI Extended Abstracts
Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
2021 A* conf
TweakIt: Supporting End-User Programmers Who Transmogrify Code.
CHI
Sam Lau, Sruti Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar
2020 B conf
Correspondence-based analogies for choosing problem representations.
VL/HCC
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng, Advait Sarkar
2020 — conf
Cross-domain Correspondences for Explainable Recommendations.
ExSS-ATEC@IUI
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng, Advait Sarkar
2020 J jnl
Elastic sheet-defined functions: Generalising spreadsheet functions to variable-size input arrays.
J. Funct. Program.
Matt McCutchen, Judith Borghouts, Andrew D. Gordon, Simon Peyton Jones, Advait Sarkar
2020 — conf
ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract).
ExSS-ATEC@IUI
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 — conf
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020.
IUI Companion
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 — conf
Excello: exploring spreadsheets for music composition.
NIME
Advait Sarkar, Henry Mattinson
2020 — conf
Gridlets: Reusing Spreadsheet Grids.
CHI Extended Abstracts
Nima Joharizadeh, Advait Sarkar, Andrew D. Gordon, Jack Williams
2020 A conf
Higher-Order Spreadsheets with Spilled Arrays.
ESOP
Jack Williams, Nima Joharizadeh, Andrew D. Gordon, Advait Sarkar
2020 — ed.
Proceedings of the Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), Cagliari, Italy, March 17, 2020.
ExSS-ATEC@IUI
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal
2020 — conf
Spreadsheet Use and Programming Experience: An Exploratory Survey.
CHI Extended Abstracts
Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andrew D. Gordon, Jack Williams
2020 B conf
Understanding and Inferring Units in Spreadsheets.
VL/HCC
Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar
2019 A conf
Assessing public perception of self-driving cars: the autonomous vehicle acceptance model.
IUI
Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
2019 — conf
Comparative judgments are more consistent than binary classification for labelling word complexity.
LAW@ACL
Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F. Blackwell
2019 — conf
Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains.
CHI Extended Abstracts
Jesse Mu, Advait Sarkar
2019 — conf
End-User Probabilistic Programming.
QEST
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto
2019 — conf
Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System.
IUI Workshops
Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
2019 — conf
ExSS: explainable smart systems 2019.
IUI Companion
Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf
2019 — conf
Perceptions of Chatbots in Therapy.
CHI Extended Abstracts
Samuel J. Bell, Clara Wood, Advait Sarkar
2019 J jnl
Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty.
CoRR
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto
2019 — conf
Usability of Probabilistic Programming Languages.
PPIG
Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil D. Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson
2018 B conf
Calculation View: multiple-representation editing in spreadsheets.
VL/HCC
Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto
2018 — conf
How do people learn to use spreadsheets? (Work in progress).
PPIG
Advait Sarkar, Andrew D. Gordon
2018 C conf
Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text.
Diagrams
Ana Semrov, Alan F. Blackwell, Advait Sarkar
2016 A* conf
A Live, Multiple-Representation Probabilistic Programming Environment for Novices.
CHI
Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme
2016 — conf
A gaze-directed lens for touchless analytics.
PPIG
Abhishek Chander, Advait Sarkar
2016 — conf
Clarifying Hypotheses by Sketching Data.
EuroVis (Short Papers)
Mariana Marasoiu, Alan F. Blackwell, Advait Sarkar, Martin Spott
2016 — conf
Constructivist Design for Interactive Machine Learning.
CHI Extended Abstracts
Advait Sarkar
2016 A* conf
Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision.
CHI
Advait Sarkar, Cecily Morrison, Jonas F. Dorn, Rishi Bedi, Saskia Steinheimer, Jacques Boisvert, Jessica Burggraaff, Marcus D'Souza, Peter Kontschieder, Samuel Rota Bulò, Lorcan Walsh, Christian P. Kamm, Yordan Zaykov, Abigail Sellen, Siân E. Lindley
2016 — conf
Towards spreadsheet tools for end-user music programming.
PPIG
Advait Sarkar
2016 B conf
Transforming spreadsheets with data noodles.
VL/HCC
Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince
2016 B conf
Visual discovery and model-driven explanation of time series patterns.
VL/HCC
Advait Sarkar, Martin Spott, Alan F. Blackwell, Mateja Jamnik
2015 — conf
Confidence, command, complexity: metamodels for structured interaction with machine intelligence.
PPIG
Advait Sarkar
2015 — conf
Interaction with Uncertainty in Visualisations.
EuroVis (Short Papers)
Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott
2015 B conf
Interactive visual machine learning in spreadsheets.
VL/HCC
Advait Sarkar, Mateja Jamnik, Alan F. Blackwell, Martin Spott
2015 B conf
Spreadsheet interfaces for usable machine learning.
VL/HCC
Advait Sarkar
2015 — conf
The impact of syntax colouring on program comprehension.
PPIG
Advait Sarkar
2014 B conf
Teach and try: A simple interaction technique for exploratory data modelling by end users.
VL/HCC
Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott