Eye movements and event segmentation: Eye movements reveal age-related differences in event model updating.


Journal

Psychology and aging
ISSN: 1939-1498
Titre abrégé: Psychol Aging
Pays: United States
ID NLM: 8904079

Informations de publication

Date de publication:
31 Aug 2023
Historique:
medline: 31 8 2023
pubmed: 31 8 2023
entrez: 31 8 2023
Statut: aheadofprint

Résumé

People spontaneously segment continuous ongoing actions into sequences of events. Prior research found that gaze similarity and pupil dilation increase at event boundaries and that older adults segment more idiosyncratically than do young adults. We used eye tracking to explore age-related differences in gaze similarity (i.e., the extent to which individuals look at the same places at the same time as others) and pupil dilation at event boundaries. Older and young adults watched naturalistic videos of actors performing everyday activities while we tracked their eye movements. Afterward, they segmented the videos into subevents. Replicating prior work, we found that pupil size and gaze similarity increased at event boundaries. Thus, there were fewer individual differences in eye position at boundaries. We also found that young adults had higher gaze similarity than older adults throughout an entire video and at event boundaries. This study is the first to show that age-related differences in how people parse continuous everyday activities into events may be partially explained by individual differences in gaze patterns. Those who segment less normatively may do so because they fixate less normative regions. Results have implications for future interventions designed to improve encoding in older adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifiants

pubmed: 37650795
pii: 2024-02488-001
doi: 10.1037/pag0000773
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
Pays : United States

Auteurs

Maverick E Smith (ME)

Department of Psychological and Brain Sciences, Washington University in St. Louis.

Lester C Loschky (LC)

Department of Psychological Sciences, Kansas State University.

Heather R Bailey (HR)

Department of Psychological Sciences, Kansas State University.

Classifications MeSH