Detection cost: A nonnegligible factor contributing to inhibition of return in the discrimination task under the cue-target paradigm.

cue–target paradigm discrimination task inhibition of return three-factor model

Journal

Perception
ISSN: 1468-4233
Titre abrégé: Perception
Pays: United States
ID NLM: 0372307

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 20 9 2023
pubmed: 1 8 2023
entrez: 1 8 2023
Statut: ppublish

Résumé

The three-factor model argues that the spatial orienting benefit triggered by the cue, the spatial selection benefit of cue-target matching, and the detection cost of distinguishing the cue from the target contribute to the measured inhibition of return (IOR) effect. According to the three-factor model, the spatial selection benefit dominates the occurrence of the IOR effect in the discrimination task, while the detection cost is negligible. The present study verified the three-factor model in the discrimination task under the cue-target paradigm by manipulating the spatial location and nonspatial feature consistency of the cue and the target as well as the promotion or hindrance of attentional disengagement from the cued location with a central reorienting cue. The results indicated that the three factors of the three-factor model contributed to the measured IOR effect in the discrimination task. Interestingly, the IOR effect was stable when the cue and target were perfectly repeated and attention was maintained at the cued location, implying that detection cost was not a negligible factor. The current study supported the contribution of all three factors in the three-factor model to the measured IOR effect; however, we argue that the role of detection cost in the discrimination task under different paradigms should be further refined.

Identifiants

pubmed: 37525928
doi: 10.1177/03010066231190216
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

681-694

Auteurs

Ming Zhang (M)

Suzhou University of Science and Technology, Jiangsu, China.
Soochow University, Jiangsu, China.
Okayama University, Okayama, Japan.

Guangyao Zu (G)

Soochow University, Jiangsu, China.

Aijun Wang (A)

Soochow University, Jiangsu, China.

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