000			03259nam a2200337Ia 4500
000			03543nam a22003615i 4500
001			978-3-031-23229-9
003			DE-He213
005			20240319120739.0
007			cr nn 008mamaa
008			230217s2023 sz | s |||| 0|eng d
020			_a9783031232299 _9978-3-031-23229-9
082			_a25.04
100			_aLiu, Jiqun. _927542
245			_aA Behavioral Economics Approach to Interactive Information Retrieval _cby Jiqun Liu. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aXVI, 211 p. 1 illus. _bonline resource.
520			_aThis 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.
650			_aBehavioral Economics. _927543
650			_aCognitive psychology. _927544
650			_aCognitive Psychology. _927545
650			_aEconomics _927546
650			_aHuman-computer interaction. _927547
650			_aInformation storage and retrieval systems. _927548
650			_aInformation Storage and Retrieval. _927549
650			_aUser interfaces (Computer systems). _927550
650			_aUser Interfaces and Human Computer Interaction. _927551
856			_uhttps://doi.org/10.1007/978-3-031-23229-9
942			_cEBK _2ddc
999			_c14869 _d14869