Walking with avatars: Gait-related visual information for following a virtual leader.

Distance-regulation Dynamical systems Ecological psychology Interpersonal coordination Locomotion

Journal

Human movement science
ISSN: 1872-7646
Titre abrégé: Hum Mov Sci
Pays: Netherlands
ID NLM: 8300127

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 07 12 2018
revised: 04 04 2019
accepted: 05 04 2019
medline: 29 4 2019
pubmed: 29 4 2019
entrez: 29 4 2019
Statut: ppublish

Résumé

Dynamic situations, such as interactive sports or walking on a busy street, impose high demands on a person's ability to interact with (others in) its environment (i.e., 'interact-ability'). The current study examined how distance regulation, a fundamental component of these interactions, is mediated by different sources of visual information. Participants were presented with a back and forwards moving virtual leader, which they had to follow by walking back and forwards themselves. We presented the leader in several appearances that differed in the presence of segmental (i.e., relative movements of body segments), cadence-related (i.e., sway and bounce), and global (i.e., optical expansion-compression) information. Results indicated that removing segmental motion information from the virtual leader significantly deteriorated both temporal synchronization and spatial accuracy of the follower to the leader, especially when the movement path of the leader was less regular/predictable. However, no difference was found between cadence-related and global motion information appearances. We argue that regulating distance with others effectively requires a versatile attunement to segmental and global motion information depending on the specific task demands. The results further support the notion that detection of especially segmental information allows for more timely 'anticipatory' tuning to another person's locomotor movements and intentions.

Identifiants

pubmed: 31029839
pii: S0167-9457(18)30802-9
doi: 10.1016/j.humov.2019.04.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

173-185

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Laurentius A Meerhoff (LA)

School of Physical Education, Sport and Exercise Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand. Electronic address: rensmeerhoff@gmail.com.

Harjo J De Poel (HJ)

Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, PO Box 196, 9700 AD Groningen, the Netherlands.

Tim W D Jowett (TWD)

Department of Mathematics and Statistics, University of Otago, PO Box 56, Dunedin 9054, New Zealand.

Chris Button (C)

School of Physical Education, Sport and Exercise Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand.

Classifications MeSH