Putting Users in Control of their Recommendations. - F. Maxwell Harper; Funing Xu; Harmanpreet Kaur; Kyle Condiff; Shuo Chang; Loren G. Terveen (RecSys, 2015)

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. - Harmanpreet Kaur; Mitchell L. Gordon; Yiwei Yang 004; Jeffrey P. Bigham; Jaime Teevan; Ece Kamar; Walter S. Lasecki (HCOMP, 2017)

Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users. - Raymond Fok; Harmanpreet Kaur; Skanda Palani; Martez E. Mott; Walter S. Lasecki (ASSETS, 2018)

Oh The Places You'll Share: An Affordances-Based Model of Social Media Posting Behaviors. - Harmanpreet Kaur; Isaac L. Johnson; Hannah Jean Miller; Loren G. Terveen; Cliff Lampe; Brent J. Hecht; Walter S. Lasecki (CHI Extended Abstracts, 2018)

Using Vocabularies to Collaboratively Create Better Plans for Writing Tasks. - Harmanpreet Kaur; Alex C. Williams; Anne Loomis Thompson; Walter S. Lasecki; Shamsi T. Iqbal; Jaime Teevan (CHI Extended Abstracts, 2018)

Supporting Workplace Detachment and Reattachment with Conversational Intelligence. - Alex C. Williams; Harmanpreet Kaur; Gloria Mark; Anne Loomis Thompson; Shamsi T. Iqbal; Jaime Teevan (CHI, 2018)

Plexiglass: Multiplexing Passive and Active Tasks for More Efficient Crowdsourcing. - Akshay Rao; Harmanpreet Kaur; Walter S. Lasecki (HCOMP, 2018)

Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning. - Harmanpreet Kaur; Alex C. Williams; Anne Loomis Thompson; Walter S. Lasecki; Shamsi T. Iqbal; Jaime Teevan (Proc. ACM Hum. Comput. Interact., 2018)

Mercury: Empowering Programmers' Mobile Work Practices with Microproductivity. - Alex C. Williams; Harmanpreet Kaur; Shamsi T. Iqbal; Ryen W. White; Jaime Teevan; Adam Fourney (UIST, 2019)

Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work. - Harmanpreet Kaur; Alex C. Williams; Daniel McDuff; Mary Czerwinski; Jaime Teevan; Shamsi T. Iqbal (CHI, 2020)

Using affordances to improve AI support of social media posting decisions. - Harmanpreet Kaur; Cliff Lampe; Walter S. Lasecki (IUI, 2020)

From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. - David Alvarez-Melis; Harmanpreet Kaur; Hal Daumé III; Hanna M. Wallach; Jennifer Wortman Vaughan (HCOMP, 2021)

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning. - Harmanpreet Kaur; Harsha Nori; Samuel Jenkins; Rich Caruana; Hanna M. Wallach; Jennifer Wortman Vaughan (DaSH@KDD, 2021)

A Human-Centered Interpretability Framework Based on Weight of Evidence. - David Alvarez-Melis; Harmanpreet Kaur; Hal Daumé III; Hanna M. Wallach; Jennifer Wortman Vaughan (CoRR, 2021)

Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. - Oana Inel; Tomislav Duricic; Harmanpreet Kaur; Elisabeth Lex; Nava Tintarev (Frontiers Artif. Intell., 2021)

"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work. - Harmanpreet Kaur; Daniel McDuff; Alex C. Williams; Jaime Teevan; Shamsi T. Iqbal (CHI, 2022)

Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory. - Harmanpreet Kaur; Eytan Adar; Eric Gilbert; Cliff Lampe (FAccT, 2022)

FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. - Harmanpreet Kaur; Doug Downey; Amanpreet Singh; Evie Yu-Yen Cheng; Daniel S. Weld; Jonathan Bragg (UIST, 2022)

Advances in Facial Emotion Recognition: Leveraging Machine Learning for Human Emotion Analysis. - Mohit Thakur; Sarbjot Singh; Sargun Pal Singh; Harmanpreet Kaur (ISED, 2023)

Collaboratively Designing and Evaluating Responsible AI Interventions. - Wesley Hanwen Deng; Glen Berman; Harmanpreet Kaur; Reva Schwartz; Memunat Ajoke Ibrahim; Motahhare Eslami; Kenneth Holstein; Michael Madaio (CSCW Companion, 2024)

Interpretability Gone Bad: The Role of Bounded Rationality in How Practitioners Understand Machine Learning. - Harmanpreet Kaur; Matthew R. Conrad; Davis Rule; Cliff Lampe; Eric Gilbert (Proc. ACM Hum. Comput. Interact., 2024)

Catalyst for Creativity or a Hollow Trend?: A Cross-Level Perspective on The Role of Generative AI in Design. - Syeda Masooma Naqvi; Ruichen He; Harmanpreet Kaur (CHI, 2025)

Explain it like I'm me: User Characteristics in XAI Decision-Making. - Malik Khadar; Amoligha Timma; Luka Ludden; Harmanpreet Kaur (FAccT, 2025)

Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data. - Malik Khadar; Daniel Runningen; Julia Tang; Stevie Chancellor; Harmanpreet Kaur (CoRR, 2025)