This event report presents an overview of a series of tutorials conducted at CHIIR 2024, SIGIR 2024, and SIGIR-AP 2024, all centered around the emerging, socially significant theme of cognitive biases in Interactive Information Retrieval (IIR) and Generative IR (GenIR). Each tutorial focused on a critical aspect of this growing research area, offering attendees a combination of theoretical foundations from psychology and behavioral economics, empirical studies, hands-on methodological discussions, and forward-looking design exercises in IIR and GenIR applications. As IR systems increasingly integrate generative and conversational interfaces, understanding the interplay between human cognitive biases and AI-driven information environments becomes not only essential for advancing theory but also vital for designing responsible and user-centered search and chat systems. These tutorials provided participants with analytical tools, practical frameworks, and collaborative opportunities to rethink ranking and evaluation, user modeling, and system design through the lens of cognitive psychology and behavioral economics. The strong engagement across all three SIGIR venues signals a growing momentum toward bias-aware, human-centric IR research. Date: March–December 2025. Website: https://beiir.github.io/.
Liu et al. (Sun,) studied this question.