The effects of colour complexity and similarity on multiple object tracking performance.


Journal

Quarterly journal of experimental psychology (2006)
ISSN: 1747-0226
Titre abrégé: Q J Exp Psychol (Hove)
Pays: England
ID NLM: 101259775

Informations de publication

Date de publication:
Aug 2019
Historique:
pubmed: 21 11 2018
medline: 1 2 2020
entrez: 21 11 2018
Statut: ppublish

Résumé

Surface features can be used during multiple object tracking (MOT). Previous studies suggested that surface features might be stored in visual working memory to assist object tracking, and attentive tracking and visual working memory share common attentional resources. However, it is still unknown whether features of both the target and distractor sets will be stored, or features of the target and distractor sets are processed differently. Moreover, how feature distinctiveness and similarity between the target and distractor sets affect tracking and allocation of attentional resources are still not clear. First, we manipulated the colour complexity of the target set (CT) and the colour complexity of the distractor set (CD), respectively, in two experiments, where colours of the target and distractor sets were always distinct, to test their effects on tracking performance. If features of the target and distractor sets are stored, manipulating feature complexity of the target and distractor sets would significantly affect tracking performance. Second, this study tested whether tracking performance was affected by different levels of distinctiveness between the target and distractor sets (DTD) and explored how distinctiveness affected tracking and allocation of attentional resources. Results showed that DTD and CT significantly affect tracking performance and allocation of attentional resources, but not CD. These results indicated that when targets and distractors have distinct features, only the surface features of the targets are maintained in visual working memory. And when targets have the same colour with the distractors, they are more difficult and consume more attentional resources to track.

Identifiants

pubmed: 30453832
doi: 10.1177/1747021818817388
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1903-1912

Auteurs

Chundi Wang (C)

1 Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.

Luming Hu (L)

1 Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.

Thomas Talhelm (T)

2 Booth School of Business, The University of Chicago, Chicago, IL, USA.

Xuemin Zhang (X)

1 Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
3 State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
4 Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.

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Classifications MeSH