Abstract

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.

Behavioral and fMRI experiments using a dot estimation task provide insight into how social interactions create and stabilize perceptual norms as socially shared realities within groups.

Details

Title
Behavioral and neuro-cognitive bases for emergence of norms and socially shared realities via dynamic interaction
Author
Kuroda, Kiri 1   VIAFID ORCID Logo  ; Ogura, Yukiko 2 ; Ogawa, Akitoshi 3   VIAFID ORCID Logo  ; Tamei, Tomoya 4 ; Ikeda, Kazushi 5   VIAFID ORCID Logo  ; Kameda, Tatsuya 6   VIAFID ORCID Logo 

 Japan Society for the Promotion of Science, Chiyoda-ku, Japan (GRID:grid.54432.34) (ISNI:0000 0001 0860 6072); Max Planck Institute for Human Development, Center for Adaptive Rationality, Berlin, Germany (GRID:grid.419526.d) (ISNI:0000 0000 9859 7917); Meiji Gakuin University, Institute for Research in Business and Economics, Faculty of Economics, Minato-ku, Japan (GRID:grid.440912.a) (ISNI:0000 0001 1954 8728); The University of Tokyo, Department of Social Psychology, Bunkyo-ku, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 The University of Tokyo, Department of Mechano-Informatics, Bunkyo-ku, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Tamagawa University, Brain Science Institute, Machida, Japan (GRID:grid.412905.b) (ISNI:0000 0000 9745 9416); Juntendo University, Faculty of Medicine, Bunkyo-ku, Japan (GRID:grid.258269.2) (ISNI:0000 0004 1762 2738) 
 Ritsumeikan University, Department of Robotics, Kusatsu, Japan (GRID:grid.262576.2) (ISNI:0000 0000 8863 9909) 
 Nara Institute of Science and Technology, Division of Information Science, Ikoma, Japan (GRID:grid.260493.a) (ISNI:0000 0000 9227 2257) 
 Tamagawa University, Brain Science Institute, Machida, Japan (GRID:grid.412905.b) (ISNI:0000 0000 9745 9416); Hokkaido University, Center for Experimental Research in Social Sciences, Sapporo, Japan (GRID:grid.39158.36) (ISNI:0000 0001 2173 7691); The University of Tokyo, Department of Social Psychology, Bunkyo-ku, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
Pages
1379
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2754686879
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.