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Chapter 2 - From Curiosity to Interest
from Part I - What Drives Humans to Seek Information?
- By Ed Donnellan, Michiko Sakaki, Kou Murayama
Edited by Irene Cogliati Dezza, University College London, Eric Schulz, Max-Planck-Institut für biologische Kybernetik, Tübingen, Charley M. Wu, Eberhard-Karls-Universität Tübingen, Germany
Book:

The Drive for Knowledge

Published online:

19 May 2022

Print publication:

02 June 2022, pp 31-52
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Summary

Information-seeking research emerges from separate traditions focusing on one-time information-seeking behavior (research on curiosity), and long-term task engagement (research on interest). However, these lines of research have been developed independently, and there has been little discussion as to how they can be understood in an integrative manner. Here we present a general framework (the reward-learning framework of knowledge acquisition) that provides a more comprehensive understanding of information-seeking behavior, effectively linking these two research traditions. This framework is based on existing reward-learning models that account for one-time information-seeking behavior, but extends them to explain its long-term development by incorporating the key role of knowledge accumulation.