A Behavioral Economics Approach to Interac...

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Beschreibung

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 preliminaryresearch 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.

Über den Autor

Jiqun Liu is an Assistant Professor of Data Science and Adjunct Assistant Professor of Psychology at the University of Oklahoma (OU). His research focuses on the intersection of human-centered data science, interactive information seeking/retrieval, and cognitive psychology, and seeks to apply the knowledge learned about people interacting with information in adaptive recommendation and de-biasing, user education and intelligent nudging. He has published extensively and advised students from diverse backgrounds on these research topics, obtained grant support from varying sources, and received best paper and poster awards at leading conferences.

Zusammenfassung

Introduces a behavioral economics framework for the development and evaluation of bias-aware information systems

Shows how an interdisciplinary approach can overcome seemingly irrational decisions not predicted by normative models

Intended for researchers in information retrieval and human-information interaction

Inhaltsverzeichnis

- Part I Foundation. - 1. Introduction. - 2. Formally Modeling Users in Information Retrieval. - 3. From Rational Agent to Human with Bounded Rationality. - Part II Beyond Rational Agents. - 4. Bounded Rationality in Decision-Making Under Uncertainty. - 5. Back to the Fundamentals: Extend the Rational Assumptions. - Part III Toward a Behavioral Economics Approach. - 6. Behavioral Economics in IR. - 7. Implications and New Directions for IR Research and Practices. - 8. Conclusion.

Details

Erscheinungsjahr:	2023
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	The Information Retrieval Series
Inhalt:	xvi 211 S. 1 s/w Illustr. 211 p. 1 illus.
ISBN-13:	9783031232282
ISBN-10:	3031232283
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Liu, Jiqun
Auflage:	1st ed. 2023
Hersteller:	Springer International Publishing Springer International Publishing AG The Information Retrieval Series
Maße:	241 x 160 x 18 mm
Von/Mit:	Jiqun Liu
Erscheinungsdatum:	18.02.2023
Gewicht:	0,512 kg

Artikel-ID: 125802701