A Behavioral Economics Approach to Interactive Information Retrieval
Springer International Publishing (Verlag)
978-3-031-23231-2 (ISBN)
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.
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.
- 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.
Erscheinungsdatum | 18.02.2024 |
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Reihe/Serie | The Information Retrieval Series |
Zusatzinfo | XVI, 211 p. 1 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 355 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Schlagworte | Behavioral Economics • Cognitive Psychology • Decision Making • Information Retrieval • interactive IR • personalization |
ISBN-10 | 3-031-23231-3 / 3031232313 |
ISBN-13 | 978-3-031-23231-2 / 9783031232312 |
Zustand | Neuware |
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