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http://doi.org/10.25358/openscience-8756
Autoren: | Seiler, Johannes P.-H Dan, Ohad Tüscher, Oliver Loewenstein, Yonatan Rumpel, Simon |
Titel: | Experienced entropy drives choice behavior in a boring decision-making task |
Online-Publikationsdatum: | 2-Feb-2023 |
Erscheinungsdatum: | 2022 |
Sprache des Dokuments: | Englisch |
Zusammenfassung/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-Sachgruppe: | 610 Medizin 610 Medical sciences |
Veröffentlichende Institution: | Johannes Gutenberg-Universität Mainz |
Organisationseinheit: | FB 04 Medizin |
Veröffentlichungsort: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-8756 |
Version: | Published version |
Publikationstyp: | Zeitschriftenaufsatz |
Weitere Angaben zur Dokumentart: | Scientific article |
Nutzungsrechte: | CC BY |
Informationen zu den Nutzungsrechten: | https://creativecommons.org/licenses/by/4.0/ |
Zeitschrift: | Scientific reports 12 |
Seitenzahl oder Artikelnummer: | 3162 |
Verlag: | Macmillan Publishers Limited, part of Springer Nature |
Verlagsort: | London |
Erscheinungsdatum: | 2022 |
ISSN: | 2045-2322 |
DOI der Originalveröffentlichung: | 10.1038/s41598-022-06861-w |
Enthalten in den Sammlungen: | DFG-491381577-G |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | ||
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experienced_entropy_drives_ch-20230202105222695.pdf | 2.4 MB | Adobe PDF | Öffnen/Anzeigen |