Report on the CHIIR 2024, SIGIR 2024, and SIGIR-AP 2024 tutorials on Characterizing, Evaluating, and Mitigating Cognitive Biases in Interactive and Generative IR

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 cr...

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Bibliographic Details
Published in:	SIGIR forum 2025-06, Vol.59 (1), p.1-13
Main Authors:	Liu, Jiqun, Azzopardi, Leif
Format:	Article
Language:	English
Subjects:	Information systems Information systems / Information retrieval Information systems / Information retrieval / Information retrieval query processing Information systems / Information retrieval / Users and interactive retrieval Information systems / Information retrieval / Users and interactive retrieval / Collaborative search Information systems / Information retrieval / Users and interactive retrieval / Personalization Information systems / Information retrieval / Users and interactive retrieval / Search interfaces Information systems / Information retrieval / Users and interactive retrieval / Task models Information systems / World Wide Web Information systems / World Wide Web / Web searching and information discovery Information systems / World Wide Web / Web searching and information discovery / Web search engines
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