Advait Sarkar

According to our database, Advait Sarkar authored at least 72 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

AI Should Challenge, Not Obey.

Advait Sarkar

Commun. ACM, October, 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

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks.

Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson

CoRR, 2024

Intention Is All You Need.

Advait Sarkar

CoRR, 2024

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions.

Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, 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

Large Language Models Cannot Explain Themselves.

Advait Sarkar

CoRR, 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

CoRR, 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

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

Diversity in Study Participants and a Critique of the "Representative Sample" in Human-Computer Interaction Research.

Advait Sarkar

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

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

Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Zachary Henley, Carina Negreanu, Advait Sarkar

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Solving Data-centric Tasks using Large Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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

Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2024

Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning.

Xiaofei Zhou, Jingwan Tang, Hanjia Lyu, Xinyi Liu, Zhenhao Zhang, Lichen Qin, Fiona Au, Advait Sarkar, Zhen Bai

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

The Metacognitive Demands and Opportunities of Generative AI.

Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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., June, 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, Carina Negreanu, Sean Rintel, Jack Williams, Benjamin G. Zorn

CoRR, 2023

Co-audit: tools to help humans double-check AI-generated content.

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

CoRR, 2023

User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation?

Bruno Tafur, Advait Sarkar

CoRR, 2023

COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code.

Kasra Ferdowsi, Jack Williams, Ian Drosos, Andrew D. Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Benjamin Zorn

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

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

Advait Sarkar

Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, 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

Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2023

Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots.

Advait Sarkar

Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work, 2023

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

Advait Sarkar

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Enough With "Human-AI Collaboration".

Advait Sarkar

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 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, Benjamin G. Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Is explainable AI a race against model complexity?

Advait Sarkar

CoRR, 2022

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

Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andrew D. Gordon

Proceedings of the 2022 IEEE Symposium on Visual Languages and Human-Centric Computing, 2022

What is it like to program with artificial intelligence?

Advait Sarkar, Carina Negreanu, Ben Zorn, Sruti Srinivasa Ragavan, Christian Pölitz, Andrew D. Gordon

Proceedings of the 33rd Annual Workshop of the Psychology of Programming Interest Group, 2022

Is Explainable AI a Race Against Model Complexity? 192-199.

Advait Sarkar

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

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

Carlos González Díaz, John Tang, Advait Sarkar, Sean Rintel

Proceedings of the CHIWORK 2022: Symposium on Human-Computer Interaction for Work, Durham, NH, USA, June 8, 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 CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author.

Sruti Srinivasa Ragavan, Advait Sarkar, Andrew D. Gordon

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

TweakIt: Supporting End-User Programmers Who Transmogrify Code.

Sam Lau, Sruti Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Elastic sheet-defined functions: Generalising spreadsheet functions to variable-size input arrays.

Matt McCutchen, Judith Borghouts, Andrew D. Gordon, Simon Peyton Jones, Advait Sarkar

J. Funct. Program., 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

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2020

Understanding and Inferring Units in Spreadsheets.

Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2020

Excello: exploring spreadsheets for music composition.

Advait Sarkar, Henry Mattinson

Proceedings of the 20th International Conference on New Interfaces for Musical Expression, 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

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), 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

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), 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

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Higher-Order Spreadsheets with Spilled Arrays.

Jack Williams, Nima Joharizadeh, Andrew D. Gordon, Advait Sarkar

Proceedings of the Programming Languages and Systems, 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, Jack Williams

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Gridlets: Reusing Spreadsheet Grids.

Nima Joharizadeh, Advait Sarkar, Andrew D. Gordon, Jack Williams

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

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

Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto

CoRR, 2019

End-User Probabilistic Programming.

Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto

Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

Usability of Probabilistic Programming Languages.

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

Proceedings of the 30th Annual Workshop of the Psychology of Programming Interest Group, 2019

Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System.

Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

ExSS: explainable smart systems 2019.

Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Assessing public perception of self-driving cars: the autonomous vehicle acceptance model.

Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

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

Jesse Mu, Advait Sarkar

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Perceptions of Chatbots in Therapy.

Samuel J. Bell, Clara Wood, Advait Sarkar

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

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, 2019

2018

Calculation View: multiple-representation editing in spreadsheets.

Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto

Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

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

Advait Sarkar, Andrew D. Gordon

Proceedings of the 29th Annual Workshop of the Psychology of Programming Interest Group, 2018

Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text.

Ana Semrov, Alan F. Blackwell, Advait Sarkar

Proceedings of the Diagrammatic Representation and Inference, 2018

2016

Visual discovery and model-driven explanation of time series patterns.

Advait Sarkar, Martin Spott, Alan F. Blackwell, Mateja Jamnik

Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, 2016

Transforming spreadsheets with data noodles.

Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince

Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, 2016

Clarifying Hypotheses by Sketching Data.

Mariana Marasoiu, Alan F. Blackwell, Advait Sarkar, Martin Spott

Proceedings of the 18th Eurographics Conference on Visualization, 2016

Towards spreadsheet tools for end-user music programming.

Advait Sarkar

Proceedings of the 27th Annual Workshop of the Psychology of Programming Interest Group, 2016

A gaze-directed lens for touchless analytics.

Abhishek Chander, Advait Sarkar

Proceedings of the 27th Annual Workshop of the Psychology of Programming Interest Group, 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, Yordan Zaykov, Abigail Sellen, Siân E. Lindley

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Constructivist Design for Interactive Machine Learning.

Advait Sarkar

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

A Live, Multiple-Representation Probabilistic Programming Environment for Novices.

Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Interactive visual machine learning in spreadsheets.

Advait Sarkar, Mateja Jamnik, Alan F. Blackwell, Martin Spott

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

Spreadsheet interfaces for usable machine learning.

Advait Sarkar

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

Interaction with Uncertainty in Visualisations.

Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott

Proceedings of the 17th Eurographics Conference on Visualization, 2015

The impact of syntax colouring on program comprehension.

Advait Sarkar

Proceedings of the 26th Annual Workshop of the Psychology of Programming Interest Group, 2015

Confidence, command, complexity: metamodels for structured interaction with machine intelligence.

Advait Sarkar

Proceedings of the 26th Annual Workshop of the Psychology of Programming Interest Group, 2015

2014

Teach and try: A simple interaction technique for exploratory data modelling by end users.

Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2014