Advait Sarkar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 71

Top Topics

Latent Semantic

Natural Language

Top Venues

CHI Extended Abstracts

Publications

Xiaofei Zhou, Jingwan Tang, Hanjia Lyu, Xinyi Liu, Zhenhao Zhang, Lichen Qin, Fiona Au, Advait Sarkar, Zhen Bai
Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning. CHI Extended Abstracts (2024)
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
Solving Data-centric Tasks using Large Language Models. CoRR (2024)
Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. CoRR (2024)
Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Z. Henley, Carina Negreanu, Advait Sarkar
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition. CoRR (2024)
Advait Sarkar
Large Language Models Cannot Explain Themselves. CoRR (2024)
Ian Drosos, Advait Sarkar, Andrew D. Gordon
"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software. CoRR (2024)
Ian Drosos, Advait Sarkar, Xiaotong Xu, Carina Negreanu, Sean Rintel, Lev Tankelevitch
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study. CHIWORK (2024)
Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
The Metacognitive Demands and Opportunities of Generative AI. CHI (2024)
Advait Sarkar
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? Onward! (2023)
Tianna Xu, Advait Sarkar, Sean Rintel
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 (2023)
Advait Sarkar
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design. CHI Extended Abstracts (2023)
Bruno Tafur, Advait Sarkar
User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation? CoRR (2023)
Advait Sarkar
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? CoRR (2023)
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin G. Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models. CHI (2023)
Advait Sarkar
Enough With "Human-AI Collaboration". CHI Extended Abstracts (2023)
Rachel Bergmann, Sean Rintel, Nancy Baym, Advait Sarkar, Damian Borowiec, Priscilla N. Y. Wong, Abigail Sellen
Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19. Comput. Support. Cooperative Work. 32 (2) (2023)
Advait Sarkar
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design. CoRR (2023)
Advait Sarkar, Ian Drosos, Rob DeLine, Andrew D. Gordon, Carina Negreanu, Sean Rintel, Jack Williams, Benjamin G. Zorn
Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows. CoRR (2023)
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models. CoRR (2023)
Advait Sarkar
Enough With "Human-AI Collaboration". CoRR (2023)
Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel
The Metacognitive Demands and Opportunities of Generative AI. CoRR (2023)
Kasra Ferdowsi, Jack Williams, Ian Drosos, Andrew D. Gordon, Carina Negreanu, Nadia Polikarpova, Advait Sarkar, Benjamin Zorn
COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code. VL/HCC (2023)
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
Co-audit: tools to help humans double-check AI-generated content. CoRR (2023)
Advait Sarkar
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots. CHIWORK (2023)
Advait Sarkar
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots. CoRR (2023)
Advait Sarkar
Is explainable AI a race against model complexity? CoRR (2022)
George Chalhoub, Advait Sarkar
"It's Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in Spreadsheets. CHI (2022)
Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Pölitz, Sruti Srinivasa Ragavan, Ben Zorn
What is it like to program with artificial intelligence? CoRR (2022)
Advait Sarkar, Carina Negreanu, Ben Zorn, Sruti Srinivasa Ragavan, Christian Pölitz, Andrew D. Gordon
What is it like to program with artificial intelligence? PPIG (2022)
Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andrew D. Gordon
End-user encounters with lambda abstraction in spreadsheets: Apollo's bow or Achilles' heel? VL/HCC (2022)
Carlos González Diaz, John Tang, Advait Sarkar, Sean Rintel
Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings. CHIWORK (2022)
Advait Sarkar
Is Explainable AI a Race Against Model Complexity? 192-199. IUI Workshops (2022)
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
TExSS: Transparency and Explanations in Smart Systems. IUI Companion (2021)
Sam Lau, Sruti Srinivasa Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar
TweakIt: Supporting End-User Programmers Who Transmogrify Code. CHI (2021)
Advait Sarkar, Sean Rintel, Damian Borowiec, Rachel Bergmann, Sharon Gillett, Danielle Bragg, Nancy Baym, Abigail Sellen
The promise and peril of parallel chat in video meetings for work. CHI Extended Abstracts (2021)
Sruti Srinivasa Srinivasa Ragavan, Advait Sarkar, Andrew D. Gordon
Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author. CHI (2021)
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng, Advait Sarkar
Cross-domain Correspondences for Explainable Recommendations. ExSS-ATEC@IUI (2020)
Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar
Understanding and Inferring Units in Spreadsheets. VL/HCC (2020)
Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng, Advait Sarkar
Correspondence-based analogies for choosing problem representations. VL/HCC (2020)
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner Tal
ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). ExSS-ATEC@IUI (2020)
Matt McCutchen, Judith Borghouts, Andrew D. Gordon, Simon Peyton Jones, Advait Sarkar
Elastic sheet-defined functions: Generalising spreadsheet functions to variable-size input arrays. J. Funct. Program. 30 (2020)
Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner Tal
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. IUI Companion (2020)
Advait Sarkar, Henry Mattinson
Excello: exploring spreadsheets for music composition. NIME (2020)
Advait Sarkar, Judith W. Borghouts, Anusha Iyer, Sneha Khullar, Christian Canton, Felienne Hermans, Andrew D. Gordon, Jack Williams
Spreadsheet Use and Programming Experience: An Exploratory Survey. CHI Extended Abstracts (2020)
Nima Joharizadeh, Advait Sarkar, Andrew D. Gordon, Jack Williams
Gridlets: Reusing Spreadsheet Grids. CHI Extended Abstracts (2020)
Jack Williams, Nima Joharizadeh, Andrew D. Gordon, Advait Sarkar
Higher-Order Spreadsheets with Spilled Arrays. ESOP (2020)
Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson
Usability of Probabilistic Programming Languages. PPIG (2019)
Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F. Blackwell
Comparative judgments are more consistent than binary classification for labelling word complexity. LAW@ACL (2019)
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto
Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty. CoRR (2019)
Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek
Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System. IUI Workshops (2019)
Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar
Assessing public perception of self-driving cars: the autonomous vehicle acceptance model. IUI (2019)
Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf
ExSS: explainable smart systems 2019. IUI Companion (2019)
Jesse Mu, Advait Sarkar
Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains. CHI Extended Abstracts (2019)
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto
End-User Probabilistic Programming. QEST (2019)
Samuel Bell, Clara Wood, Advait Sarkar
Perceptions of Chatbots in Therapy. CHI Extended Abstracts (2019)
Advait Sarkar, Andrew D. Gordon
How do people learn to use spreadsheets? (Work in progress). PPIG (2018)
Ana Semrov, Alan F. Blackwell, Advait Sarkar
Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text. Diagrams (2018)
Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto
Calculation View: multiple-representation editing in spreadsheets. VL/HCC (2018)
Abhishek Chander, Advait Sarkar
A gaze-directed lens for touchless analytics. PPIG (2016)
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
Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision. CHI (2016)
Advait Sarkar
Towards spreadsheet tools for end-user music programming. PPIG (2016)
Advait Sarkar, Martin Spott, Alan F. Blackwell, Mateja Jamnik
Visual discovery and model-driven explanation of time series patterns. VL/HCC (2016)
Mariana Marasoiu, Alan F. Blackwell, Advait Sarkar, Martin Spott
Clarifying Hypotheses by Sketching Data. EuroVis (Short Papers) (2016)
Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme
A Live, Multiple-Representation Probabilistic Programming Environment for Novices. CHI (2016)
Advait Sarkar
Constructivist Design for Interactive Machine Learning. CHI Extended Abstracts (2016)
Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince
Transforming spreadsheets with data noodles. VL/HCC (2016)
Advait Sarkar
The impact of syntax colouring on program comprehension. PPIG (2015)
Advait Sarkar
Confidence, command, complexity: metamodels for structured interaction with machine intelligence. PPIG (2015)
Advait Sarkar, Mateja Jamnik, Alan F. Blackwell, Martin Spott
Interactive visual machine learning in spreadsheets. VL/HCC (2015)
Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott
Interaction with Uncertainty in Visualisations. EuroVis (Short Papers) (2015)
Advait Sarkar
Spreadsheet interfaces for usable machine learning. VL/HCC (2015)
Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott
Teach and try: A simple interaction technique for exploratory data modelling by end users. VL/HCC (2014)