Influence of mental workload on motion perception: A direct comparison of luminance-based and contrast-based stimuli.

Cognitive workload Feature tracking Motion sensors Second order motion

Journal

Vision research
ISSN: 1878-5646
Titre abrégé: Vision Res
Pays: England
ID NLM: 0417402

Informations de publication

Date de publication:
04 2022
Historique:
received: 05 07 2021
revised: 21 10 2021
accepted: 15 11 2021
pubmed: 17 12 2021
medline: 20 4 2022
entrez: 16 12 2021
Statut: ppublish

Résumé

In order to study the impact of increased mental workload on motion detection, twenty-four observers performed a motion discrimination task in which they had to detect odd moving patches. Two types of moving patches were used, namely luminance-based and contrast-based patches. For both types of patches, the motion discrimination task was performed with and without an additional N-Back task aimed at increasing the mental workload. The dual task decreased discrimination performance for both types of patches, but the difference was significantly larger for contrast-based patches, i.e., for second-order motion stimuli, both as an absolute and relative increment. This suggests that motion discrimination requires larger cognitive resources for contrast-based than for luminance-based stimuli, thereby hinting at the higher complexity of the cognitive mechanisms underlying second-order motion detection.

Identifiants

pubmed: 34915398
pii: S0042-6989(21)00227-3
doi: 10.1016/j.visres.2021.107977
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107977

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Julien Audiffren (J)

Control and Perception laboratory, University of Fribourg, Switzerland. Electronic address: julien.audiffren@unifr.ch.

Jean-Luc Bloechle (JL)

Control and Perception laboratory, University of Fribourg, Switzerland.

Jean-Pierre Bresciani (JP)

Control and Perception laboratory, University of Fribourg, Switzerland.

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Classifications MeSH