Publications
Please see my Google Scholar profile for the most up-to-date list of publications.
Conference and Journal Papers
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H. Kaur, M. Conrad, D. Rule, C. Lampe, and E. Gilbert. (2023, August).
Interpretability Gone Bad: The Role of Bounded Rationality in How Practitioners Understand Machine Learning.
In Proceedings of the ACM - Human Computer Interaction (PACM-HCI;
to be presented at CSCW 2024). - H. Kaur, D. Downey, A. Singh, E. Cheng, D. Weld, and J. Bragg (2022, October). FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. In Proceedings of the ACM Conference on User Interface Software and Technology (UIST 2022).
- H. Kaur, E. Adar, E. Gilbert, and C. Lampe (2022, June). Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022).
- H. Kaur, D. McDuff, A. C. Williams, J. Teevan, and S. T. Iqbal (2022, May). "I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2022).
- O. Inel, T. Duricic, H. Kaur, E. Lex, and N. Tintarev (2021, November). Design Implications for Explanations: Supporting Reflective Assessment of Videos on Controversial Topics. (Frontiers in Artificial Intelligence 2021).
- D.A. Melis, H. Kaur, H. Daumé, H. Wallach, and J. W. Vaughan.(2021, November). A Human-Centered Approach to Interpretability Using Weight of Evidence. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021).
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H. Kaur and C. Lampe (2020, March).
Using Affordances to Improve AI Support of Social Media Posting Decisions.
In Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI 2020).
[IUI Best Paper Honorable Mention] -
H. Kaur, H. Nori, S. Jenkins, R. Caruana, H. Wallach, J. W. Vaughan.
Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning.
In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2020).
[CHI Best Paper Honorable Mention] - H. Kaur, A. Williams, D. McDuff, M. Czerwinski, J. Teevan, S. Iqbal. Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2020).
- A. Williams, H. Kaur, J. Teevan, R. White, S. Iqbal, A. Fourney (2019, October). Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity. In Proceedings of the ACM Conference on User Interface Software and Technology (UIST 2019).
- H. Kaur, A. Williams, A.L. Thompson, W.S. Lasecki, S. Iqbal, J. Teevan (2018, November). Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning. In Proceedings of the International ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2018). New York, NY.
- R. Fok, H. Kaur, S. Palani, M.E. Mott, W.S. Lasecki. (2018, November) Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users. In Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018). Galway, Ireland.
- A. Rao, H. Kaur, W.S. Lasecki (2018, July). Plexiglass: Multiplexing Passive and Active Tasks for More Efficient Crowdsourcing. In Proceedings of the AAAI Conference on Human Computation (HCOMP 2018). Zurich, Switzerland.
- A. Williams, H. Kaur, G. Mark, A.L. Thompson, S. Iqbal, J. Teevan (2018, April). Supporting Workplace Detachment and Reattachment with Conversational Intelligence. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018).
- H. Kaur, M. Gordon, Y. Yang, J. Bigham, J. Teevan, E. Kamar, W.S. Lasecki (2017, October). CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. In Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017).
- F. M. Harper, F. Xu, H. Kaur, K. Condiff, S. Chang, L. Terveen (2015, September). Putting users in control of their recommendations. In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015).