| Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning H Kaur, H Nori, S Jenkins, R Caruana, H Wallach, JW Vaughan | 207 | 2020 |
| Putting users in control of their recommendations FM Harper, F Xu, H Kaur, K Condiff, S Chang, L Terveen Proceedings of the 9th ACM Conference on Recommender Systems, 3-10, 2015 | 84 | 2015 |
| Supporting Workplace Detachment and Reattachment with Conversational Intelligence AC Williams, H Kaur, G Mark, AL Thompson, ST Iqbal, J Teevan Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 88, 2018 | 56 | 2018 |
| Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work H Kaur, AC Williams, D McDuff, M Czerwinski, J Teevan, S Iqbal | 34 | 2020 |
| Crowdmask: Using crowds to preserve privacy in crowd-powered systems via progressive filtering H Kaur, M Gordon, Y Yang, J Bigham, J Teevan, E Kamar, W Lasecki Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 (1), 2017 | 30 | 2017 |
| Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning H Kaur, AC Williams, AL Thompson, WS Lasecki, ST Iqbal, J Teevan Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 86, 2018 | 18 | 2018 |
| Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users R Fok, H Kaur, S Palani, ME Mott, WS Lasecki Proceedings of the 20th International ACM SIGACCESS Conference on Computers …, 2018 | 18 | 2018 |
| Mercury: Empowering Programmers' Mobile Work Practices with Microproductivity AC Williams, H Kaur, S Iqbal, RW White, J Teevan, A Fourney Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019 | 16 | 2019 |
| Plexiglass: Multiplexing passive and active tasks for more efficient crowdsourcing A Rao, H Kaur, W Lasecki Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (1), 2018 | 13 | 2018 |
| Building Shared Mental Models between Humans and AI for Effective Collaboration H Kaur, AC Williams, WS Lasecki In CHI 2019 Workshop on Where is the Human? Bridging the Gap Between AI and HCI, 2019 | 6 | 2019 |
| Oh The Places You'll Share: An Affordances-Based Model of Social Media Posting Behaviors H Kaur, I Johnson, HJ Miller, LG Terveen, C Lampe, B Hecht, WS Lasecki Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018 | 4 | 2018 |
| From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence DA Melis, H Kaur, H Daumé III, H Wallach, JW Vaughan Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021 | 3 | 2021 |
| Using affordances to improve AI support of social media posting decisions H Kaur, C Lampe, WS Lasecki Proceedings of the 25th International Conference on Intelligent User …, 2020 | 2 | 2020 |
| Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory H Kaur, E Adar, E Gilbert, C Lampe arXiv preprint arXiv:2205.05057, 2022 | | 2022 |
| “I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work H Kaur, D McDuff, AC Williams, J Teevan, ST Iqbal CHI Conference on Human Factors in Computing Systems, 1-18, 2022 | | 2022 |
| Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos O Inel, T Duricic, H Kaur, E Lex, N Tintarev Frontiers in Artificial Intelligence, 143, 2021 | | 2021 |
| Using Vocabularies to Collaboratively Create Better Plans for Writing Tasks H Kaur, AC Williams, AL Thompson, WS Lasecki, S Iqbal, J Teevan Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018 | | 2018 |
Jaime TeevanChief Scientist & Technical Fellow, MicrosoftVerified email at microsoft.com
