Teach and try: A simple interaction technique for exploratory data modelling by end users. - Advait Sarkar; Alan F. Blackwell; Mateja Jamnik; Martin Spott (VL/HCC, 2014)

Confidence, command, complexity: metamodels for structured interaction with machine intelligence. - Advait Sarkar (PPIG, 2015)

The impact of syntax colouring on program comprehension. - Advait Sarkar (PPIG, 2015)

Interaction with Uncertainty in Visualisations. - Advait Sarkar; Alan F. Blackwell; Mateja Jamnik; Martin Spott (EuroVis (Short Papers), 2015)

Spreadsheet interfaces for usable machine learning. - Advait Sarkar (VL/HCC, 2015)

Interactive visual machine learning in spreadsheets. - Advait Sarkar; Mateja Jamnik; Alan F. Blackwell; Martin Spott (VL/HCC, 2015)

A Live, Multiple-Representation Probabilistic Programming Environment for Novices. - Maria I. Gorinova 001; Advait Sarkar; Alan F. Blackwell; Don Syme (CHI, 2016)

Constructivist Design for Interactive Machine Learning. - Advait Sarkar (CHI Extended Abstracts, 2016)

Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision. - 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; et al. (CHI, 2016)

A gaze-directed lens for touchless analytics. - Abhishek Chander; Advait Sarkar (PPIG, 2016)

Towards spreadsheet tools for end-user music programming. - Advait Sarkar (PPIG, 2016)

Clarifying Hypotheses by Sketching Data. - Mariana Marasoiu; Alan F. Blackwell; Advait Sarkar; Martin Spott (EuroVis (Short Papers), 2016)

Transforming spreadsheets with data noodles. - Maria I. Gorinova 001; Advait Sarkar; Alan F. Blackwell; Karl Prince (VL/HCC, 2016)

Visual discovery and model-driven explanation of time series patterns. - Advait Sarkar; Martin Spott; Alan F. Blackwell; Mateja Jamnik (VL/HCC, 2016)

Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text. - Ana Semrov; Alan F. Blackwell; Advait Sarkar (Diagrams, 2018)

How do people learn to use spreadsheets? (Work in progress). - Advait Sarkar; Andrew D. Gordon 001 (PPIG, 2018)

Calculation View: multiple-representation editing in spreadsheets. - Advait Sarkar; Andrew D. Gordon 001; Simon Peyton Jones; Neil Toronto (VL/HCC, 2018)

Comparative judgments are more consistent than binary classification for labelling word complexity. - Sian Gooding; Ekaterina Kochmar; Advait Sarkar; Alan F. Blackwell (LAW@ACL, 2019)

Perceptions of Chatbots in Therapy. - Samuel J. Bell; Clara Wood; Advait Sarkar (CHI Extended Abstracts, 2019)

Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains. - Jesse Mu; Advait Sarkar (CHI Extended Abstracts, 2019)

Assessing public perception of self-driving cars: the autonomous vehicle acceptance model. - Charlie Hewitt; Ioannis Politis; Theocharis Amanatidis; Advait Sarkar (IUI, 2019)

ExSS: explainable smart systems 2019. - Brian Y. Lim; Advait Sarkar; Alison Smith-Renner; Simone Stumpf (IUI Companion, 2019)

Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System. - Ruixue Liu; Advait Sarkar; Erin Solovey; Sebastian Tschiatschek (IUI Workshops, 2019)

Usability of Probabilistic Programming Languages. - Alan F. Blackwell; Luke Church; Martin Erwig; James Geddes; Andy Gordon 001; Maria I. Gorinova 001; Atilim Gunes Baydin; Bradley Gram-Hansen; Tobias Kohn; Neil D. Lawrence; Vikash Mansinghka 001; Brooks Paige; et al. (PPIG, 2019)

End-User Probabilistic Programming. - Judith Borghouts; Andrew D. Gordon 001; Advait Sarkar; Neil Toronto (QEST, 2019)

Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty. - Judith Borghouts; Andrew D. Gordon 001; Advait Sarkar; Kenton P. O'Hara; Neil Toronto (CoRR, 2019)

Gridlets: Reusing Spreadsheet Grids. - Nima Joharizadeh; Advait Sarkar; Andrew D. Gordon 001; Jack Williams 001 (CHI Extended Abstracts, 2020)

Spreadsheet Use and Programming Experience: An Exploratory Survey. - Advait Sarkar; Judith W. Borghouts; Anusha Iyer; Sneha Khullar; Christian Canton; Felienne Hermans; Andrew D. Gordon 001; Jack Williams 001 (CHI Extended Abstracts, 2020)

Higher-Order Spreadsheets with Spilled Arrays. - Jack Williams 001; Nima Joharizadeh; Andrew D. Gordon 001; Advait Sarkar (ESOP, 2020)

ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (IUI Companion, 2020)

ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (ExSS-ATEC@IUI, 2020)

Cross-domain Correspondences for Explainable Recommendations. - Aaron Stockdill; Daniel Raggi; Mateja Jamnik; Grecia Garcia Garcia; Holly E. A. Sutherland; Peter C.-H. Cheng; Advait Sarkar (ExSS-ATEC@IUI, 2020)

Excello: exploring spreadsheets for music composition. - Advait Sarkar; Henry Mattinson (NIME, 2020)

Understanding and Inferring Units in Spreadsheets. - Jack Williams 001; Carina Negreanu; Andrew D. Gordon 001; Advait Sarkar (VL/HCC, 2020)

Correspondence-based analogies for choosing problem representations. - Aaron Stockdill; Daniel Raggi; Mateja Jamnik; Grecia Garcia Garcia; Holly E. A. Sutherland; Peter C.-H. Cheng; Advait Sarkar (VL/HCC, 2020)

Elastic sheet-defined functions: Generalising spreadsheet functions to variable-size input arrays. - Matt McCutchen; Judith Borghouts; Andrew D. Gordon 001; Simon Peyton Jones; Advait Sarkar (J. Funct. Program., 2020)

TweakIt: Supporting End-User Programmers Who Transmogrify Code. - Sam Lau; Sruti Srinivasa Ragavan; Ken Milne; Titus Barik; Advait Sarkar (CHI, 2021)

Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author. - Sruti Srinivasa Ragavan; Advait Sarkar; Andrew D. Gordon 001 (CHI, 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 Extended Abstracts, 2021)

TExSS: Transparency and Explanations in Smart Systems. - 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 (IUI Companion, 2021)

"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 (CHI, 2022)

Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings. - Carlos González Díaz; John C. Tang; Advait Sarkar; Sean Rintel (CHIWORK, 2022)

Is Explainable AI a Race Against Model Complexity? 192-199. - Advait Sarkar (IUI Workshops, 2022)

What is it like to program with artificial intelligence? - Advait Sarkar; Carina Negreanu; Ben Zorn 001; Sruti Srinivasa Ragavan; Christian Pölitz; Andrew D. Gordon 001 (PPIG, 2022)

End-user encounters with lambda abstraction in spreadsheets: Apollo's bow or Achilles' heel? - Advait Sarkar; Sruti Srinivasa Ragavan; Jack Williams 001; Andrew D. Gordon 001 (VL/HCC, 2022)

Is explainable AI a race against model complexity? - Advait Sarkar (CoRR, 2022)

"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; Benjamin G. Zorn; Jack Williams 001; Neil Toronto; Andrew D. Gordon 001 (CHI, 2023)

Enough With "Human-AI Collaboration". - Advait Sarkar (CHI Extended Abstracts, 2023)

Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design. - Advait Sarkar (CHI Extended Abstracts, 2023)

Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots. - Advait Sarkar (CHIWORK, 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)

Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? - Advait Sarkar (Onward!, 2023)

COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code. - Kasra Ferdowsi; Jack Williams 001; Ian Drosos; Andrew D. Gordon 001; Carina Negreanu; Nadia Polikarpova; Advait Sarkar; Benjamin Zorn 001 (VL/HCC, 2023)

User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation? - Bruno Tafur; Advait Sarkar (CoRR, 2023)

Co-audit: tools to help humans double-check AI-generated content. - Andrew D. Gordon 001; Carina Negreanu; José Cambronero; Rasika Chakravarthy; Ian Drosos; Hao Fang; Bhaskar Mitra 001; Hannah Richardson; Advait Sarkar; Stephanie Simmons; Jack Williams 001; Ben Zorn 001 (CoRR, 2023)

Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows. - Advait Sarkar; Ian Drosos; Rob DeLine; Andrew D. Gordon 001; Carina Negreanu; Sean Rintel; Jack Williams 001; Benjamin G. Zorn (CoRR, 2023)

Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19. - Rachel Bergmann; Sean Rintel; Nancy Baym; Advait Sarkar; Damian Borowiec; Priscilla N. Y. Wong; Abigail Sellen (Comput. Support. Cooperative Work., 2023)

The Metacognitive Demands and Opportunities of Generative AI. - Lev Tankelevitch; Viktor Kewenig; Auste Simkute; Ava Elizabeth Scott; Advait Sarkar; Abigail Sellen; Sean Rintel (CHI, 2024)

Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning. - Xiaofei Zhou; Jingwan Tang; Hanjia Lyu; Xinyi Liu 001; Zhenhao Zhang; Lichen Qin; Fiona Au; Advait Sarkar; Zhen Bai (CHI Extended Abstracts, 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)

Solving Data-centric Tasks using Large Language Models. - Shraddha Barke; Christian Pölitz; Carina Negreanu; Benjamin Zorn 001; José Cambronero; Andrew D. Gordon 001; Vu Le 002; Elnaz Nouri; Nadia Polikarpova; Advait Sarkar; Brian Slininger; Neil Toronto; et al. (NAACL-HLT (Findings), 2024)

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition. - Majeed Kazemitabaar; Jack Williams 001; Ian Drosos; Tovi Grossman; Austin Zachary Henley; Carina Negreanu; Advait Sarkar (UIST, 2024)

Diversity in Study Participants and a Critique of the "Representative Sample" in Human-Computer Interaction Research. - Advait Sarkar (VL/HCC, 2024)

The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming. - Qing Nancy Xia; Advait Sarkar; Duncan P. Brumby; Anna L. Cox (VL/HCC, 2024)

"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software. - Ian Drosos; Advait Sarkar; Andrew D. Gordon 001 (CoRR, 2024)

Large Language Models Cannot Explain Themselves. - Advait Sarkar (CoRR, 2024)

The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming. - Qing Xia; Advait Sarkar; Duncan P. Brumby; Anna L. Cox (CoRR, 2024)

Intention Is All You Need. - Advait Sarkar (CoRR, 2024)

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks. - Ian Drosos; Jack Williams 001; Advait Sarkar; Nicholas Wilson (CoRR, 2024)

When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution. - Advait Sarkar; Xiaotong Xu; Neil Toronto; Ian Drosos; Christian Pölitz (CoRR, 2024)

AI Should Challenge, Not Obey. - Advait Sarkar (Commun. ACM, 2024)

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. - Bhuvanashree Murugadoss; Christian Pölitz; Ian Drosos; Vu Le 002; Nick McKenna; Carina Suzana Negreanu; Chris Parnin; Advait Sarkar (AAAI, 2025)

Empower Secondary School Teachers to Create ML-Supported Inquiry-Based Learning Activities. - Xiaofei Zhou; Hanjia Lyu; Yuxin Sa; Mengfan Li; Advait Sarkar; Jiebo Luo 001; Michael Daley; Zhen Bai (AIED (1), 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)

AI Could Have Written This: Birth of a Classist Slur in Knowledge Work. - Advait Sarkar (CHI Extended Abstracts, 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 002; Srishti Palani; Advait Sarkar; Gonzalo A. Ramos; Yvonne Rogers; Hari Subramonyam (CHI Extended Abstracts, 2025)

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks. - Ian Drosos; Jack Williams 001; Advait Sarkar; Nicholas Wilson; Sean Rintel; Payod Panda (CHIWORK, 2025)

Gluing Pizza, Eating Rocks, and Counting Rs in Strawberry: The Discursive Social Function of Stupid AI Answers. - Advait Sarkar (CHIWORK, 2025)

"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Work. - Ian Drosos; Advait Sarkar; Xiaotong Xu; Neil Toronto (CoRR, 2025)

Addressing the Agony of Recruitment for Human-centric Computing Studies. - Kashumi Madampe; John Grundy 001; Judith Good; Dulaji Hidellaarachchi; Jácome Cunha; Chris Brown 001; Peng Kuang; Reham Al Tamime; Ariful Islam Anik; Advait Sarkar; Wei Zhou; Shawal Khalid; et al. (ACM SIGSOFT Softw. Eng. Notes, 2025)

"How do you even know that stuff?": Barriers to expertise sharing among spreadsheet users. - Qing Nancy Xia; Advait Sarkar; Duncan P. Brumby; Anna Louise Cox (CoRR, 2025)

Vibe coding: programming through conversation with artificial intelligence. - Advait Sarkar; Ian Drosos (CoRR, 2025)