Jiqun Liu

Education

PhD in Information Science, Rutgers University, 2020
Master of Management in Information Science, Peking University, 2016
Bachelor of Management in Library Science, Nankai University, 2014
Bachelor of Economics in Finance, Nankai University, 2014

Bio

Jiqun Liu is an Associate Professor focusing on AI and Data Science in the School of Information Studies at the University of Wisconsin–Milwaukee. His research lies at the intersection of human-centered artificial intelligence, information retrieval, human–computer interaction, and cognitive psychology. He studies how bounded rationality and behavioral manipulation shape people’s interactions with search, recommendation, and generative AI systems. His work develops evaluation methods, user models, and adaptive interventions for interactive search and AI systems that better support human judgment, informal learning, and decision-making in critical scenarios.

His current research examines the cognitive impacts of large language models, conversational and generative information access, LLM-based evaluation and judgment, and AI literacy in educational and community settings. His research has been supported by the National Science Foundation, the Institute of Museum and Library Services, Microsoft, and university AI research initiatives. More information about Dr. Liu’s research and student advising can be found here:

Personal website: https://jiqunl.github.io/me/
HCIR Lab: https://ouhcirgroup.github.io/

Teaching Specialization & Interests

Human-Centered AI for Information Systems
Information Retrieval
User Research and Evaluation for Interactive AI
Responsible AI, Algorithmic Literacy, and Digital Resilience
Information Seeking and Use
Social Informatics
Information Visualization
Education

Research Interests & Expertise

Human-AI interaction
Information retrieval, recommender systems, and generative information access
Large language model evaluation and LLM-based judgment
Cognitive biases, heuristics, expectations, and bounded rationality
Conversational recommendation and intelligent nudging
Responsible AI, fairness, and digital resilience
AI literacy and AI-supported learning in libraries and community settings

Selected Publications & Scholarly Contributions

A Behavioral Economics Approach to Interactive Information Retrieval: Understanding and Supporting Boundedly Rational Users. Springer Nature, 2023.

Interactive IR User Study Design, Evaluation, and Reporting, with Chirag Shah. Morgan & Claypool, 2019.

Research articles published in venues including Communications of the ACM, ACM Transactions on Information Systems, ACM Transactions on Interactive Intelligent Systems, Journal of the Association for Information Science and Technology, Information Processing & Management, SIGIR, WSDM, CHIIR, The Web Conference, and CIKM.

Selected Professional Service

Dr. Liu serves as an Associate Editor for Information Processing & Management and ACM Transactions on Information Systems, and as an editor for ACM SIGIR Forum. He has served as Program Co-Chair of ACM/IEEE JCDL 2026, Short Papers and Demonstrations Co-Chair of ACM CHIIR 2026, and on program committees for SIGIR, WSDM, CIKM, The Web Conference, and other major conferences. Full list of Liu’s publications can be found here: https://scholar.google.com/citations?user=SSkPeogAAAAJ

Selected Research Support

His research has received support from the National Science Foundation, the Institute of Museum and Library Services, Microsoft Research, and several university research and interdisciplinary collaboration programs. Current projects include human-centered evaluation of generative AI, cognitive-bias risks in LLM-assisted judgment, and the integration of generative AI into children’s maker-based learning in public libraries.