Do Congruent Auditory Stimuli Facilitate Visual Search in Dynamic Environments? An Experimental Study Based on Multisensory Interaction.


Journal

Multisensory research
ISSN: 2213-4808
Titre abrégé: Multisens Res
Pays: Netherlands
ID NLM: 101604290

Informations de publication

Date de publication:
06 May 2022
Historique:
received: 23 09 2021
accepted: 02 04 2022
entrez: 6 5 2022
pubmed: 7 5 2022
medline: 7 5 2022
Statut: aheadofprint

Résumé

The purpose of this study was to investigate the cue congruency effect of auditory stimuli during visual search in dynamic environments. Twenty-eight participants were recruited to conduct a visual search experiment. The experiment applied auditory stimuli to understand whether they could facilitate visual search in different types of background. Additionally, target location and target orientation were manipulated to clarify their influences on visual search. Target location was related to horizontal visual search and target orientation was associated with visual search for an inverted target. The results regarding dynamic backgrounds reported that target-congruent auditory stimuli could speed up the visual search time. In addition, the cue congruency effect of auditory stimuli was critical for the center of the visual display but declined for the edge, indicating the inhibition of horizontal visual search behavior. Moreover, few improvements accompanying auditory stimuli were provided for the visual detection of non-inverted and inverted targets. The findings of this study suggested developing multisensory interaction with head-mounted displays, such as augmented reality glasses, in real life.

Identifiants

pubmed: 35523736
doi: 10.1163/22134808-bja10075
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-15

Auteurs

Xiaofang Sun (X)

Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China.

Pin-Hsuan Chen (PH)

Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China.

Pei-Luen Patrick Rau (PP)

Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China.

Classifications MeSH