Behavioral and neuro-cognitive bases for emergence of norms and socially shared realities via dynamic interaction.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
15 12 2022
Historique:
received: 08 02 2022
accepted: 01 12 2022
medline: 1 11 2023
entrez: 15 12 2022
pubmed: 16 12 2022
Statut: epublish

Résumé

In the digital era, new socially shared realities and norms emerge rapidly, whether they are beneficial or harmful to our societies. Although these are emerging properties from dynamic interaction, most research has centered on static situations where isolated individuals face extant norms. We investigated how perceptual norms emerge endogenously as shared realities through interaction, using behavioral and fMRI experiments coupled with computational modeling. Social interactions fostered convergence of perceptual responses among people, not only overtly but also at the covert psychophysical level that generates overt responses. Reciprocity played a critical role in increasing the stability (reliability) of the psychophysical function within each individual, modulated by neural activity in the mentalizing network during interaction. These results imply that bilateral influence promotes mutual cognitive anchoring of individual views, producing shared generative models at the collective level that enable endogenous agreement on totally new targets-one of the key functions of social norms.

Identifiants

pubmed: 36522539
doi: 10.1038/s42003-022-04329-1
pii: 10.1038/s42003-022-04329-1
pmc: PMC9754314
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1379

Informations de copyright

© 2022. The Author(s).

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Auteurs

Kiri Kuroda (K)

Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, 102-0083, Japan.
Center for Adaptive Rationality, Max Planck Institute for Human Development, 14195, Berlin, Germany.
Institute for Research in Business and Economics, Faculty of Economics, Meiji Gakuin University, Minato-ku, Tokyo, 108-8636, Japan.
Department of Social Psychology, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Yukiko Ogura (Y)

Department of Mechano-Informatics, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Akitoshi Ogawa (A)

Brain Science Institute, Tamagawa University, Machida, Tokyo, 194-8610, Japan.
Faculty of Medicine, Juntendo University, Bunkyo-ku, Tokyo, 113-8421, Japan.

Tomoya Tamei (T)

Department of Robotics, Ritsumeikan University, Kusatsu, Shiga, 525-8577, Japan.

Kazushi Ikeda (K)

Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.

Tatsuya Kameda (T)

Brain Science Institute, Tamagawa University, Machida, Tokyo, 194-8610, Japan. tkameda@l.u-tokyo.ac.jp.
Center for Experimental Research in Social Sciences, Hokkaido University, Sapporo, Hokkaido, 060-0810, Japan. tkameda@l.u-tokyo.ac.jp.
Department of Social Psychology, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan. tkameda@l.u-tokyo.ac.jp.

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