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2020 – today
- 2024
[c54]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: 90:1-90:7- [c53]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: 680:1-680:24 - [c52]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: 16:1-16:21 - [c51]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:
Solving Data-centric Tasks using Large Language Models. NAACL-HLT (Findings) 2024: 626-638 - [i19]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 abs/2402.11734 (2024) - [i18]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 abs/2404.07114 (2024) - [i17]Advait Sarkar:
Large Language Models Cannot Explain Themselves. CoRR abs/2405.04382 (2024) - [i16]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 abs/2407.02651 (2024) - [i15]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 abs/2407.02903 (2024) - [i14]Qing Xia, Advait Sarkar, Duncan P. Brumby, Anna L. Cox:
The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming. CoRR abs/2408.08068 (2024) - [i13]Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar:
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. CoRR abs/2408.08781 (2024) - 2023
- [j2]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): 347-383 (2023) - [c50]Advait Sarkar:
Enough With "Human-AI Collaboration". CHI Extended Abstracts 2023: 415:1-415:8 - [c49]Advait Sarkar:
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design. CHI Extended Abstracts 2023: 419:1-419:10 - [c48]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: 598:1-598:31 - [c47]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: 9:1-9:12 - [c46]Advait Sarkar:
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots. CHIWORK 2023: 13:1-13:17 - [c45]Advait Sarkar:
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? Onward! 2023: 153-167 - [c44]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: 82-91 - [i12]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 abs/2304.06597 (2023) - [i11]Bruno Tafur, Advait Sarkar:
User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation? CoRR abs/2304.07926 (2023) - [i10]Advait Sarkar:
Enough With "Human-AI Collaboration". CoRR abs/2306.01615 (2023) - [i9]Advait Sarkar:
Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design. CoRR abs/2306.01643 (2023) - [i8]Advait Sarkar:
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots. CoRR abs/2307.10751 (2023) - [i7]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 abs/2310.01297 (2023) - [i6]Advait Sarkar:
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models? CoRR abs/2311.00382 (2023) - [i5]Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel:
The Metacognitive Demands and Opportunities of Generative AI. CoRR abs/2312.10893 (2023) - [i4]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 abs/2312.16633 (2023) - 2022
- [c43]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: 585:1-585:24 - [c42]Carlos González Díaz, John Tang, Advait Sarkar, Sean Rintel:
Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings. CHIWORK 2022: 4:1-4:11 - [c41]Advait Sarkar:
Is Explainable AI a Race Against Model Complexity? 192-199. IUI Workshops 2022: 192-199 - [c40]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: 127-153 - [c39]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: 1-11 - [i3]Advait Sarkar:
Is explainable AI a race against model complexity? CoRR abs/2205.10119 (2022) - [i2]Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Pölitz, Sruti Srinivasa Ragavan, Ben Zorn:
What is it like to program with artificial intelligence? CoRR abs/2208.06213 (2022) - 2021
- [c38]Sruti Srinivasa Ragavan, Advait Sarkar, Andrew D. Gordon:
Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author. CHI 2021: 181:1-181:21 - [c37]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: 260:1-260:8 - [c36]Sam Lau, Sruti Srinivasa Ragavan, Ken Milne, Titus Barik, Advait Sarkar:
TweakIt: Supporting End-User Programmers Who Transmogrify Code. CHI 2021: 311:1-311:12 - [c35]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: 24-25 - 2020
- [j1]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: e26 (2020) - [c34]Nima Joharizadeh, Advait Sarkar, Andrew D. Gordon, Jack Williams:
Gridlets: Reusing Spreadsheet Grids. CHI Extended Abstracts 2020: 1-7 - [c33]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: 1-9 - [c32]Jack Williams, Nima Joharizadeh, Andrew D. Gordon, Advait Sarkar:
Higher-Order Spreadsheets with Spilled Arrays. ESOP 2020: 743-769 - [c31]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: 7-8 - [c30]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 - [c29]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 - [c28]Advait Sarkar, Henry Mattinson:
Excello: exploring spreadsheets for music composition. NIME 2020: 11-16 - [c27]Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar:
Understanding and Inferring Units in Spreadsheets. VL/HCC 2020: 1-9 - [c26]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: 1-5 - [e1]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), Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2582, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c25]Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan F. Blackwell:
Comparative judgments are more consistent than binary classification for labelling word complexity. LAW@ACL 2019: 208-214 - [c24]Samuel J. Bell, Clara Wood, Advait Sarkar:
Perceptions of Chatbots in Therapy. CHI Extended Abstracts 2019 - [c23]Jesse Mu, Advait Sarkar:
Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains. CHI Extended Abstracts 2019 - [c22]Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf:
ExSS: explainable smart systems 2019. IUI Companion 2019: 125-126 - [c21]Charlie Hewitt, Ioannis Politis, Theocharis Amanatidis, Advait Sarkar:
Assessing public perception of self-driving cars: the autonomous vehicle acceptance model. IUI 2019: 518-527 - [c20]Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek:
Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System. IUI Workshops 2019 - [c19]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:
Usability of Probabilistic Programming Languages. PPIG 2019 - [c18]Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto:
End-User Probabilistic Programming. QEST 2019: 3-24 - [i1]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 abs/1905.13072 (2019) - 2018
- [c17]Ana Semrov, Alan F. Blackwell, Advait Sarkar:
Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text. Diagrams 2018: 517-525 - [c16]Advait Sarkar, Andrew D. Gordon:
How do people learn to use spreadsheets? (Work in progress). PPIG 2018 - [c15]Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto:
Calculation View: multiple-representation editing in spreadsheets. VL/HCC 2018: 85-93 - 2016
- [c14]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: 261-271 - [c13]Advait Sarkar:
Constructivist Design for Interactive Machine Learning. CHI Extended Abstracts 2016: 1467-1475 - [c12]Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme:
A Live, Multiple-Representation Probabilistic Programming Environment for Novices. CHI 2016: 2533-2537 - [c11]Advait Sarkar:
Towards spreadsheet tools for end-user music programming. PPIG 2016: 7 - [c10]Abhishek Chander, Advait Sarkar:
A gaze-directed lens for touchless analytics. PPIG 2016: 27 - [c9]Mariana Marasoiu, Alan F. Blackwell, Advait Sarkar, Martin Spott:
Clarifying Hypotheses by Sketching Data. EuroVis (Short Papers) 2016: 125-129 - [c8]Advait Sarkar, Martin Spott, Alan F. Blackwell, Mateja Jamnik:
Visual discovery and model-driven explanation of time series patterns. VL/HCC 2016: 78-86 - [c7]Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince:
Transforming spreadsheets with data noodles. VL/HCC 2016: 236-237 - 2015
- [c6]Advait Sarkar:
Confidence, command, complexity: metamodels for structured interaction with machine intelligence. PPIG 2015: 3 - [c5]Advait Sarkar:
The impact of syntax colouring on program comprehension. PPIG 2015: 8 - [c4]Advait Sarkar, Alan F. Blackwell, Mateja Jamnik, Martin Spott:
Interaction with Uncertainty in Visualisations. EuroVis (Short Papers) 2015: 133-137 - [c3]Advait Sarkar, Mateja Jamnik, Alan F. Blackwell, Martin Spott:
Interactive visual machine learning in spreadsheets. VL/HCC 2015: 159-163 - [c2]Advait Sarkar:
Spreadsheet interfaces for usable machine learning. VL/HCC 2015: 283-284 - 2014
- [c1]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: 53-56
Coauthor Index
Carina Negreanu
aka: Carina Suzana Negreanu
aka: Carina Suzana Negreanu
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