Age differences in emotion perception in a multiple target setting: An eye-tracking study.


Journal

Emotion (Washington, D.C.)
ISSN: 1931-1516
Titre abrégé: Emotion
Pays: United States
ID NLM: 101125678

Informations de publication

Date de publication:
Dec 2020
Historique:
pubmed: 2 8 2019
medline: 7 1 2021
entrez: 2 8 2019
Statut: ppublish

Résumé

Research focusing on the association between age and emotion perception has revealed inconsistent findings, with some support for an age-related positivity effect, as predicted by socioemotional selectivity theory. We used the mood-of-the-crowd (MoC) task to investigate whether older adults judge a crowd consisting of happy and angry expressions to be dominated by happy faces more frequently. The task was to decide whether an array of faces included more angry or more happy faces. Accuracy, response times, and gaze movements were analyzed to test the hypothesis, derived from socioemotional selectivity theory, that age would be associated with a bias toward judging crowds as happy, and with longer and more numerous fixations on happy expressions. Seventy-six participants took part in the study representing 3 different age groups (young, middle-aged, old). Contrary to the hypothesis, older participants more often judged the emotional crowd to be angry compared with younger participants. Furthermore, whereas fixations were longer for happy faces than for angry faces in younger adults, this difference was not present in older adults. A decline in inhibitory processing in older adults as well as higher cognitive demands of the task are discussed as possible explanations for these findings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Identifiants

pubmed: 31368747
pii: 2019-43636-001
doi: 10.1037/emo0000645
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1423-1434

Auteurs

Alica Bucher (A)

Institute of Psychology.

Julia Spaniol (J)

Department of Psychology.

Amelie Hische (A)

Institute of Psychology.

Nicola Sauer (N)

Institute of Psychology.

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Classifications MeSH