Task-irrelevant optic flow guides attention in visual search.


Journal

Attention, perception & psychophysics
ISSN: 1943-393X
Titre abrégé: Atten Percept Psychophys
Pays: United States
ID NLM: 101495384

Informations de publication

Date de publication:
Jul 2019
Historique:
pubmed: 27 1 2019
medline: 29 10 2019
entrez: 27 1 2019
Statut: ppublish

Résumé

Motion is an important factor in visual information processing. Studies have shown that global optic flow guides attention, but it remains unclear whether this attentional guidance occurs regardless of top-down attentional control settings for another endogenous cue. To address this issue, we developed a visual search paradigm in which a task-irrelevant optic flow starts and stops prior to a visual search task itself. Participants first observed an initial optic flow motion pattern for a brief period; next, they searched a static display for a target amongst multiple distractors. Results showed faster target detection when a target's locus coincided with the implied focus of expansion (FOE) from the preceding optic flow (vs. other loci). Eye-movement analyses revealed that initial saccades were drawn to the FOE during optic flow exposures and that relatively few saccades were needed to find targets contingent to the preceding FOE. The advantage of FOE for finding target occurred even when a salient feature singleton captured attention or when a task-relevant feature singleton was prioritized. Results of six experiments suggest that attentional control settings for a feature singleton do not over-ride a sustained influence of optic flow on attentional guidance.

Identifiants

pubmed: 30684207
doi: 10.3758/s13414-018-01646-8
pii: 10.3758/s13414-018-01646-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1327-1345

Auteurs

Yoko Higuchi (Y)

Graduate School of Informatics, Kyoto University, Kyoto, Japan. yokohiguchi0114@gmail.com.
Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba, 263-8555, Japan. yokohiguchi0114@gmail.com.

Satoshi Inoue (S)

TOYOTA Motor Corporation, Aichi, Japan.

Terumasa Endo (T)

TOYOTA Motor Corporation, Aichi, Japan.

Takatsune Kumada (T)

Graduate School of Informatics, Kyoto University, Kyoto, Japan.

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Classifications MeSH