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A behavioral economics approach to interactive information retrievalunderstanding and supporting boundedly rational users /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A behavioral economics approach to interactive information retrievalby Jiqun Liu.
其他題名:	understanding and supporting boundedly rational users /
作者:	Liu, Jiqun.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xvi, 211 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Information retrievalPsychological aspects.
電子資源:	https://doi.org/10.1007/978-3-031-23229-9
ISBN:	9783031232299$q(electronic bk.)

A behavioral economics approach to interactive information retrievalunderstanding and supporting boundedly rational users /
Liu, Jiqun.

A behavioral economics approach to interactive information retrievalunderstanding and supporting boundedly rational users /[electronic resource] :by Jiqun Liu. - Cham :Springer International Publishing :2023. - xvi, 211 p. :ill., digital ;24 cm. - Information retrieval series,v. 482730-6836 ;. - Information retrieval series ;v.37..

This book brings together the insights from three different areas, Information Seeking and Retrieval, Cognitive Psychology, and Behavioral Economics, and shows how this new interdisciplinary approach can advance our knowledge about users interacting with diverse search systems, especially their seemingly irrational decisions and anomalies that could not be predicted by most normative models. The first part "Foundation" of this book introduces the general notions and fundamentals of this new approach, as well as the main concepts, terminology and theories. The second part "Beyond Rational Agents" describes the systematic biases and cognitive limits confirmed by behavioral experiments of varying types and explains in detail how they contradict the assumptions and predictions of formal models in information retrieval (IR) The third part "Toward A Behavioral Economics Approach" first synthesizes the findings from existing preliminary research on bounded rationality and behavioral economics modeling in information seeking, retrieval, and recommender system communities. Then, it discusses the implications, open questions and methodological challenges of applying the behavioral economics framework to different sub-areas of IR research and practices, such as modeling users and search sessions, developing unbiased learning to rank and adaptive recommendations algorithms, implementing bias-aware intelligent task support, as well as extending the conceptualization and evaluation on IR fairness, accountability, transparency and ethics (FATE) with the knowledge regarding both human biases and algorithmic biases. This book introduces a behavioral economics framework to IR scientists seeking a new perspective on both fundamental and new emerging problems of IR as well as the development and evaluation of bias-aware intelligent information systems. It is especially intended for researchers working on IR and human-information interaction who want to learn about the potential offered by behavioral economics in their own research areas.

ISBN: 9783031232299$q(electronic bk.)

Standard No.: 10.1007/978-3-031-23229-9doiSubjects--Topical Terms:

946144
Information retrieval
--Psychological aspects.

LC Class. No.: ZA3075 / .L58 2023

Dewey Class. No.: 025.04

A behavioral economics approach to interactive information retrievalunderstanding and supporting boundedly rational users /
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