Harmanpreet Kaur

According to our database, Harmanpreet Kaur authored at least 35 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems.

Susanne Gaube, Markus Langer, Tim Miller, Kevin Baum, Raimund Dachselt, Anna Maria Feit, Ujwal Gadiraju, Harmanpreet Kaur, Mark T. Keane, Richard Landers, Johann Laux, Q. Vera Liao, Brian Lim, Linda Onnasch, Tim Schrills, Liz Sonenberg, Chenhao Tan, Nava Tintarev, Ziang Xiao, Hanwei Zhang

CoRR, May, 2026

PaperTrail: A Claim-Evidence Interface for Grounding Provenance in LLM-based Scholarly Q&A.

Anna Martin-Boyle, Cara A. C. Leckey, Martha C. Brown, Harmanpreet Kaur

CoRR, February, 2026

AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems.

Tim Schrills, Patricia Kahr, Markus Langer, Harmanpreet Kaur, Ujwal Gadiraju

Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

Online Communities as Collaborative Testbeds for Collective Alignment.

Matthew Zent, Malik Khadar, Svetlana Yarosh, Stevie Chancellor, Harmanpreet Kaur

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

From Curiosity to Caution: How Expertise Shapes the Use of Interpretable Machine Learning.

Syeda Masooma Naqvi, Gayathri Balaji, Angelique Laju, Harmanpreet Kaur

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Unraveling Entangled Feeds: Rethinking Social Media Design to Enhance User Well-being.

Ashlee Milton, Daniel Runningen, Loren Terveen, Harmanpreet Kaur, Stevie Chancellor

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

PaperTrail: A Claim-Evidence Interface for Grounding Provenance in LLM-based Scholarly Q&A.

Anna Martin-Boyle, Cara Leckey, Martha Brown, Harmanpreet Kaur

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems.

Anna Martin-Boyle, William Humphreys, Martha Brown, Cara Leckey, Harmanpreet Kaur

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

From the Lab to the Field: The Role of Motivation in Rigorous XAI User Studies.

Malik Khadar, Harmanpreet Kaur

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

AI CHAOS! 2nd Workshop on the Challenges for Human Oversight of AI Systems.

Malik Khadar, Julia Cecil, Leon Van Der Neut, Nikola Banovic, Kevin Baum, Stevie Chancellor, Enrico Costanza, Motahhare Eslami, Anna Maria Feit, Susanne Gaube, Ujwal Gadiraju, Harmanpreet Kaur

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Opportunities and Barriers for AI Feedback on Meeting Inclusion in Socioorganizational Teams.

Mo Houtti, Moyan Zhou, Daniel Runningen, Surabhi Sunil, Leor Porat, Harmanpreet Kaur, Loren Terveen, Stevie Chancellor

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

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

Proc. ACM Hum. Comput. Interact., 2025

Explain it like I'm me: User Characteristics in XAI Decision-Making.

Malik Khadar, Amoligha Timma, Luka Ludden, Harmanpreet Kaur

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

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

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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

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

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

2023

Advances in Facial Emotion Recognition: Leveraging Machine Learning for Human Emotion Analysis.

Mohit Thakur, Sarbjot Singh, Sargun Pal Singh, Harmanpreet Kaur

Proceedings of the 11th International Conference on Intelligent Systems and Embedded Design, 2023

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

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory.

Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

"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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

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

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

Proceedings of the 3rd Workshop on Data Science with Human in the Loop, 2021

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

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

2020

Using affordances to improve AI support of social media posting decisions.

Harmanpreet Kaur, Cliff Lampe, Walter S. Lasecki

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Mercury: Empowering Programmers' Mobile Work Practices with Microproductivity.

Alex C. Williams, Harmanpreet Kaur, Shamsi T. Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

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

Plexiglass: Multiplexing Passive and Active Tasks for More Efficient Crowdsourcing.

Akshay Rao, Harmanpreet Kaur, Walter S. Lasecki

Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Supporting Workplace Detachment and Reattachment with Conversational Intelligence.

Alex C. Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi T. Iqbal, Jaime Teevan

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users.

Raymond Fok, Harmanpreet Kaur, Skanda Palani, Martez E. Mott, Walter S. Lasecki

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

2017

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering.

Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki

Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

2015

Putting Users in Control of their Recommendations.

F. Maxwell Harper, Funing Xu, Harmanpreet Kaur, Kyle Condiff, Shuo Chang, Loren G. Terveen

Proceedings of the 9th ACM Conference on Recommender Systems, 2015