The Influence of Selective and Divided Attention on Audiovisual Integration in Children

Weiping Yang, Yanna Ren, Dan Ou yang, Xue Yuan, Jinglong Wu

Research output: Contribution to journalArticle

Abstract

This article aims to investigate whether there is a difference in audiovisual integration in school-aged children (aged 6 to 13 years; mean age = 9.9 years) between the selective attention condition and divided attention condition. We designed a visual and/or auditory detection task that included three blocks (divided attention, visual-selective attention, and auditory-selective attention). The results showed that the response to bimodal audiovisual stimuli was faster than to unimodal auditory or visual stimuli under both divided attention and auditory-selective attention conditions. However, in the visual-selective attention condition, no significant difference was found between the unimodal visual and bimodal audiovisual stimuli in response speed. Moreover, audiovisual behavioral facilitation effects were compared between divided attention and selective attention (auditory or visual attention). In doing so, we found that audiovisual behavioral facilitation was significantly difference between divided attention and selective attention. The results indicated that audiovisual integration was stronger in the divided attention condition than that in the selective attention condition in children. Our findings objectively support the notion that attention can modulate audiovisual integration in school-aged children. Our study might offer a new perspective for identifying children with conditions that are associated with sustained attention deficit, such as attention-deficit hyperactivity disorder.

Original languageEnglish
Pages (from-to)515-526
Number of pages12
JournalPerception
Volume45
Issue number5
DOIs
Publication statusPublished - 2015

Keywords

  • audiovisual integration
  • children
  • divided attention
  • selective attention

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Artificial Intelligence
  • Sensory Systems

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