The role of cognitive load in modulating social looking: a mobile eye tracking study.


Journal

Cognitive research: principles and implications
ISSN: 2365-7464
Titre abrégé: Cogn Res Princ Implic
Pays: England
ID NLM: 101697632

Informations de publication

Date de publication:
16 09 2020
Historique:
received: 20 12 2019
accepted: 29 07 2020
entrez: 16 9 2020
pubmed: 17 9 2020
medline: 18 9 2021
Statut: epublish

Résumé

The effect of cognitive load on social attention was examined across three experiments in a live pedestrian passing scenario (Experiments 1 and 2) and with the same scenario presented as a video (Experiment 3). In all three experiments, the load was manipulated using an auditory 2-back task. While the participant was wearing a mobile eye-tracker, the participant's fixation behavior toward a confederate was recorded and analyzed based on temporal proximity from the confederate (near or far) and the specific regions of the confederate being observed (i.e., head or body). In Experiment 1 we demonstrated an effect of cognitive load such that there was a lower proportion of fixations and time spent fixating toward the confederate in the load condition. A similar pattern of results was found in Experiment 2 when a within-subject design was used. In Experiment 3, which employed a less authentic social situation (i.e., video), a similar effect of cognitive load was observed. Collectively, these results suggest attentional resources play a central role in social attentional behaviors in both authentic (real-world) and less authentic (video recorded) situations.

Identifiants

pubmed: 32936361
doi: 10.1186/s41235-020-00242-5
pii: 10.1186/s41235-020-00242-5
pmc: PMC7493067
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

44

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Auteurs

Laura J Bianchi (LJ)

University of Waterloo, Waterloo, ON, N2L 3G1, Canada. ljbianch@uwaterloo.ca.

Alan Kingstone (A)

University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.

Evan F Risko (EF)

University of Waterloo, Waterloo, ON, N2L 3G1, Canada.

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Classifications MeSH