The role of attention in the effect of facial attractiveness on time perception.

attention attractiveness dot‐probe task dual‐task time perception

Journal

PsyCh journal
ISSN: 2046-0260
Titre abrégé: Psych J
Pays: Australia
ID NLM: 101598595

Informations de publication

Date de publication:
26 Mar 2024
Historique:
received: 21 07 2023
accepted: 05 02 2024
medline: 26 3 2024
pubmed: 26 3 2024
entrez: 26 3 2024
Statut: aheadofprint

Résumé

Recent research has indicated that attractive faces often cause a dilation of our time perception thus affecting physical and mental health, and speculates that this could be relevant to the fact that attractive faces capture people's attention. Nevertheless, there was no direct experimental data to support this speculation. The present work was designed to illustrate how attention affects time perception of facial attractiveness. It utilized two experiments to investigate this phenomenon. In Experiment 1, perception of timing and attention bias were assessed using a temporal reproduction task and a dot-probe task. Increased attention bias was found to mediate the time dilation effect of facial attractiveness. Experiment 2 adopted dual-task paradigm, combining a temporal reproduction task and attractiveness rating task, to manipulate attention allocation. The findings suggested that allocating more attention to the task requiring timing enhanced the time dilation effect caused by the faces. Results of Experiments 1 and 2 converge to show that attention plays an essential role in the effects of facial attractiveness on time perception.

Identifiants

pubmed: 38530875
doi: 10.1002/pchj.744
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Authors. PsyCh Journal published by Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

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Auteurs

Weiwen Wu (W)

Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.

Yu Tian (Y)

Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.

Classifications MeSH