Publications

Please see my Google Scholar profile for the most up-to-date list of publications.

Conference and Journal Papers

  1. 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).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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]
  8. 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]
  9. 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).
  10. 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).
  11. 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.
  12. 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.
  13. 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.
  14. 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).
  15. 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).
  16. 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).