The effect of verbal instructions while using digital indoor wayfinding devices on gender, performance, and self-reported strategies.

Digital wayfinding applications Indoor wayfinding Pointing accuracy Self-reported wayfinding strategy Verbal instructions Walking pace

Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 10 05 2023
revised: 15 10 2023
accepted: 19 10 2023
medline: 13 11 2023
pubmed: 3 11 2023
entrez: 2 11 2023
Statut: ppublish

Résumé

Studies indicate that verbal instructions may impact associations between gender and wayfinding performance (measured via relative direction pointing accuracy and walking pace). Following the increasing use of digital navigation applications in indoor environments, and their implications on acquiring and processing spatial information, the aim of this study is to evaluate the stability of previously established associations. The study included 34 participants (16 females) aged 24-34 and was conducted in an indoor hospital setting. In addition to using a navigation application, one of three types of verbal instructions (route, survey, or none) were given in each wayfinding scenario. Self-reported wayfinding strategies were also assessed. The findings indicate that male participants made fewer pointing accuracy errors and walked faster than females, regardless of the type of instructions given, implying that the impact of naturally employed wayfinding strategies by gender (route for females; survey for males) on wayfinding performance may be more dominant than that of navigational devices. In addition, when males and females were exposed to their unnatural wayfinding strategy, no significant differences were seen in either group's self-reported wayfinding strategies. These findings may suggest that applying survey knowledge to females may improve their indoor wayfinding.

Identifiants

pubmed: 37918278
pii: S0003-6870(23)00198-9
doi: 10.1016/j.apergo.2023.104160
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104160

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ido Morag (I)

Shenkar College of Engineering and Design, School of Industrial Engineering and Management, Ramat-Gan 5252626, Israel. Electronic address: ido-ilit@013.net.il.

Avi Parush (A)

Technion-Israel Institute of Technology, Faculty of Data and Decision Science, Haifa 32000, Israel. Electronic address: aparush@technion.ac.il.

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Classifications MeSH