The temporal dynamics of visual attention.


Journal

Journal of experimental psychology. General
ISSN: 1939-2222
Titre abrégé: J Exp Psychol Gen
Pays: United States
ID NLM: 7502587

Informations de publication

Date de publication:
03 Oct 2024
Historique:
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 3 10 2024
Statut: aheadofprint

Résumé

Researchers have long debated how humans select relevant objects amid physically salient distractions. An increasingly popular view holds that the key to avoiding distractions lies in suppressing the attentional priority of a salient distractor. However, the precise mechanisms of distractor suppression remain elusive. Because the computation of attentional priority is a time-dependent process, distractor suppression must be understood within these temporal dynamics. In four experiments, we tracked the temporal dynamics of visual attention using a novel forced-response method, by which participants were required to express their latent attentional priority at varying processing times via saccades. We show that attention could be biased either toward or away from a salient distractor depending on the timing of observation, with these temporal dynamics varying substantially across experiments. These dynamics were explained by a computational model assuming the distractor and target priority signals arrive asynchronously in time and with different influences on saccadic behavior. The model suggests that distractor signal suppression can be achieved via a "slow" mechanism in which the distractor priority signal dictates saccadic behavior until a late-arriving priority signal overrides it, or a "fast" mechanism which directly suppresses the distractor priority signal's behavioral expression. The two mechanisms are temporally dissociable and can work collaboratively, resulting in time-dependent patterns of attentional allocation. The current work underscores the importance of considering the temporal dynamics of visual attention and provides a computational architecture for understanding the mechanisms of distractor suppression. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Identifiants

pubmed: 39361368
pii: 2025-31875-001
doi: 10.1037/xge0001661
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation
Organisme : National Institutes of Health; National Institute of Mental Health

Auteurs

Han Zhang (H)

Department of Psychology, University of Michigan.

Jacob Sellers (J)

Department of Psychology, University of Michigan.

Taraz G Lee (TG)

Department of Psychology, University of Michigan.

John Jonides (J)

Department of Psychology, University of Michigan.

Classifications MeSH