Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-8756
Authors: | Seiler, Johannes P.-H Dan, Ohad Tüscher, Oliver Loewenstein, Yonatan Rumpel, Simon |
Title: | Experienced entropy drives choice behavior in a boring decision-making task |
Online publication date: | 2-Feb-2023 |
Year of first publication: | 2022 |
Language: | english |
Abstract: | Boredom has been defined as an aversive mental state that is induced by the disability to engage in satisfying activity, most often experienced in monotonous environments. However, current understanding of the situational factors inducing boredom and driving subsequent behavior remains incomplete. Here, we introduce a two-alternative forced-choice task coupled with sensory stimulation of different degrees of monotony. We find that human subjects develop a bias in decision-making, avoiding the more monotonous alternative that is correlated with self-reported state boredom. This finding was replicated in independent laboratory and online experiments and proved to be specific for the induction of boredom rather than curiosity. Furthermore, using theoretical modeling we show that the entropy in the sequence of individually experienced stimuli, a measure of information gain, serves as a major determinant to predict choice behavior in the task. With this, we underline the relevance of boredom for driving behavioral responses that ensure a lasting stream of information to the brain. |
DDC: | 610 Medizin 610 Medical sciences |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 04 Medizin |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-8756 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
Document type specification: | Scientific article |
License: | CC BY |
Information on rights of use: | https://creativecommons.org/licenses/by/4.0/ |
Journal: | Scientific reports 12 |
Pages or article number: | 3162 |
Publisher: | Macmillan Publishers Limited, part of Springer Nature |
Publisher place: | London |
Issue date: | 2022 |
ISSN: | 2045-2322 |
Publisher DOI: | 10.1038/s41598-022-06861-w |
Appears in collections: | DFG-491381577-G |
Files in This Item:
File | Description | Size | Format | ||
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experienced_entropy_drives_ch-20230202105222695.pdf | 2.4 MB | Adobe PDF | View/Open |