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Jiqun Liu

Jiqun Liu

Jiqun Liu.

Associate Professor

Email: jiqunliu@ou.edu
Office: Bizzell Library 118B
Campus: Norman


Jiqun Liu is an Associate Professor in the School of Library and Information Studies. He is also affiliated with OU’s Data Institute for Societal Challenges and directs the Human-Computer Interaction and Recommendation (HCIR) Lab. He received his PhD in Information Science from the Rutgers iSchool.

His research sits at the intersection of Large Language Models (LLMs), Information Retrieval, and Cognitive Psychology, with a particular focus on how boundedly rational users interact with information and Conversational AI systems. He studies the ways cognitive biases, heuristics, and expectations shape human–LLM interactions and develops systems for conversational IR, proactive recommendation, and intelligent nudging. His current projects examine both the cognitive impacts of generative AI on users and teams, such as attention, decision-making, and cognitive load, and the design of socially responsible AI systems that strengthen fairness, accountability, transparency, and ethics in critical domains including health information access, learning/education, online privacy, and business decision-making. His work has been supported by the National Science Foundation, Microsoft, the Data Institute for Societal Challenges, and OU’s Vice President for Research and Partnerships/Research Council.

Access Dr. Liu's Website

Access OU HCIR Lab's Website


Courses Commonly Taught:   

  • LIS 4/5213 Social Informatics
  • LIS 4/5673 Intro to Information Visualization
  • LIS 5053 Informaiton Seeking and Use
  • LIS 4/5970 Information Retrieval and Text Mining

For a current listing of courses please visit: https://classnav.ou.edu/


Research Areas:

  • Human-centered data science.
  • Human-AI interaction and collaboration.
  • Bounded rationality.
  • Intelligent information retrieval and recommendation.
  • Fairness, diversity, and ethics in computing.
  • Psychology-informed user modeling.