Harmanpreet Kaur

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Previously Reported

Durative Actions

Nondeterministic Domains

Top Venues

Publications

Harmanpreet Kaur, Matthew R. Conrad, Davis Rule, Cliff Lampe, Eric Gilbert
Interpretability Gone Bad: The Role of Bounded Rationality in How Practitioners Understand Machine Learning. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi T. Iqbal
"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work. CHI (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. CoRR (2022)
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. UIST (2022)
Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory. CoRR (2022)
Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory. FAccT (2022)
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. HCOMP (2021)
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
A Human-Centered Interpretability Framework Based on Weight of Evidence. CoRR (2021)
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna M. Wallach, Jennifer Wortman Vaughan
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning. DaSH@KDD (2021)
Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. Frontiers Artif. Intell. 4 (2021)
Harmanpreet Kaur, Cliff Lampe, Walter S. Lasecki
Using affordances to improve AI support of social media posting decisions. IUI (2020)
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna M. Wallach, Jennifer Wortman Vaughan
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning. CHI (2020)
Harmanpreet Kaur, Alex C. Williams, Daniel J. McDuff, Mary Czerwinski, Jaime Teevan, Shamsi T. Iqbal
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work. CHI (2020)
Alex C. Williams, Harmanpreet Kaur, Shamsi T. Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
Mercury: Empowering Programmers' Mobile Work Practices with Microproductivity. UIST (2019)
Harmanpreet Kaur, Alex C. Williams, Anne Loomis Thompson, Walter S. Lasecki, Shamsi T. Iqbal, Jaime Teevan
Using Vocabularies to Collaboratively Create Better Plans for Writing Tasks. CHI Extended Abstracts (2018)
Harmanpreet Kaur, Alex C. Williams, Anne Loomis Thompson, Walter S. Lasecki, Shamsi T. Iqbal, Jaime Teevan
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Alex C. Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi T. Iqbal, Jaime Teevan
Supporting Workplace Detachment and Reattachment with Conversational Intelligence. CHI (2018)
Harmanpreet Kaur, Isaac L. Johnson, Hannah Jean Miller, Loren G. Terveen, Cliff Lampe, Brent J. Hecht, Walter S. Lasecki
Oh The Places You'll Share: An Affordances-Based Model of Social Media Posting Behaviors. CHI Extended Abstracts (2018)
Akshay Rao, Harmanpreet Kaur, Walter S. Lasecki
Plexiglass: Multiplexing Passive and Active Tasks for More Efficient Crowdsourcing. HCOMP (2018)
Raymond Fok, Harmanpreet Kaur, Skanda Palani, Martez E. Mott, Walter S. Lasecki
Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users. ASSETS (2018)
Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki
CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. HCOMP (2017)
F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Shuo Chang, Loren G. Terveen
Putting Users in Control of their Recommendations. RecSys (2015)