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A Behavioral Economics Approach to Interactive Information Retrieval : Understanding and Supporting Boundedly Rational Users / by Jiqun Liu
(The Information Retrieval Series. ISSN:27306836 ; 48)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2023. |
| 出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
| 出版年 | 2023 |
| 大きさ | XVI, 211 p. 1 illus : online resource |
| 著者標目 | *Liu, Jiqun author SpringerLink (Online service) |
書誌詳細を非表示
| 一般注記 | 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 HTTP:URL=https://doi.org/10.1007/978-3-031-23229-9 |
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| 件 名 | LCSH:Information storage and retrieval systems LCSH:Economics—Psychological aspects LCSH:User interfaces (Computer systems) LCSH:Human-computer interaction LCSH:Cognitive psychology FREE:Information Storage and Retrieval FREE:Behavioral Economics FREE:User Interfaces and Human Computer Interaction FREE:Cognitive Psychology |
| 分 類 | LCC:QA75.5-76.95 DC23:025.04 |
| 書誌ID | EB00000607 |
| ISBN | 9783031232299 |
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