Human-AI Collaboration in Search and Recommendation: Navigation, Personalization, and Evaluation of Carousel-Based Interfaces

Behnam Rahdari is a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research. He holds a PhD in Information Science from the University of Pittsburgh and an MSc from the Polytechnic University of Milan. His research lies at the intersection of human-computer interaction and artificial intelligence, focusing on advancing Human-AI collaboration in search and recommender systems. He has received several academic honors, including the Best Blue Sky Paper Award (ACM Hypertext 2025), Best Demo Award (ACM RecSys 2021), and an Honorable Mention (ACM IUI 2025). He is also a recipient of the Catherine Ofiesh and Gerald Orner Award for academic excellence (2024). His doctoral research systematically investigated carousel-based interfaces, integrating theoretical modeling and empirical studies to examine their influence on user navigation and decision-making in complex domains such as education and health information access.