The effect of facial attractiveness on micro-expression recognition.

emotion recognition facial attractiveness happy-face-advantage micro-expression micro-expression recognition

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2022
Historique:
received: 01 07 2022
accepted: 11 08 2022
entrez: 3 10 2022
pubmed: 4 10 2022
medline: 4 10 2022
Statut: epublish

Résumé

Micro-expression (ME) is an extremely quick and uncontrollable facial movement that lasts for 40-200 ms and reveals thoughts and feelings that an individual attempts to cover up. Though much more difficult to detect and recognize, ME recognition is similar to macro-expression recognition in that it is influenced by facial features. Previous studies suggested that facial attractiveness could influence facial expression recognition processing. However, it remains unclear whether facial attractiveness could also influence ME recognition. Addressing this issue, this study tested 38 participants with two ME recognition tasks in a static condition or dynamically. Three different MEs (positive, neutral, and negative) at two attractiveness levels (attractive, unattractive). The results showed that participants recognized MEs on attractive faces much quicker than on unattractive ones, and there was a significant interaction between ME and facial attractiveness. Furthermore, attractive happy faces were recognized faster in both the static and the dynamic conditions, highlighting the happiness superiority effect. Therefore, our results provided the first evidence that facial attractiveness could influence ME recognition in a static condition or dynamically.

Identifiants

pubmed: 36186390
doi: 10.3389/fpsyg.2022.959124
pmc: PMC9524498
doi:

Types de publication

Journal Article

Langues

eng

Pagination

959124

Informations de copyright

Copyright © 2022 Lin, Dong, Zheng and Wang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Qiongsi Lin (Q)

Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Department of Psychology, University of the Chinese Academy of Sciences, Beijing, China.

Zizhao Dong (Z)

Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Department of Psychology, University of the Chinese Academy of Sciences, Beijing, China.

Qiuqiang Zheng (Q)

Teacher Education Curriculum Center, School of Educational Science, Huizhou University, Huizhou, China.

Su-Jing Wang (SJ)

Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Department of Psychology, University of the Chinese Academy of Sciences, Beijing, China.

Classifications MeSH