Emotional expressivity of the observer mediates recognition of affective states from human body movements.

Emotional expressivity embodied simulation emotion recognition point-light displays

Journal

Cognition & emotion
ISSN: 1464-0600
Titre abrégé: Cogn Emot
Pays: England
ID NLM: 8710375

Informations de publication

Date de publication:
11 2020
Historique:
pubmed: 7 4 2020
medline: 14 5 2021
entrez: 7 4 2020
Statut: ppublish

Résumé

Research on human motion perception shows that people are highly adept at inferring emotional states from body movements. Yet, this process is mediated by a number of individual factors and experiences. Within this study, we tackle two questions. Firstly, we ask which part of the body transmits the key information that is used to infer affective states. Secondly, we address how the observer's own emotional expressivity influences the recognition process. We used two types of impoverished point-light displays depicting the same emotional interactions as either arm or trunk movements. Results showed that participants used different sources of information in an emotion-specific manner. Participants with richer self-reported emotional expressivity showed higher recognition accuracies overall but also benefited more from information delivered by arm gestures. We interpret our findings in terms of embodied simulation, suggesting that emotion perception constitutes a function of the expressing body and the individual observer.

Identifiants

pubmed: 32249663
doi: 10.1080/02699931.2020.1747990
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1370-1381

Auteurs

Julia Bachmann (J)

Department of Psychology and Sport Science, Justus-Liebig-University, Giessen, Germany.

Adam Zabicki (A)

Department of Psychology and Sport Science, Justus-Liebig-University, Giessen, Germany.

Jörn Munzert (J)

Department of Psychology and Sport Science, Justus-Liebig-University, Giessen, Germany.

Britta Krüger (B)

Department of Psychology and Sport Science, Justus-Liebig-University, Giessen, Germany.

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Classifications MeSH