Effect of Object and Task Properties on Bimanual Transport.


Journal

Journal of motor behavior
ISSN: 1940-1027
Titre abrégé: J Mot Behav
Pays: United States
ID NLM: 0236512

Informations de publication

Date de publication:
2019
Historique:
pubmed: 10 5 2018
medline: 8 5 2020
entrez: 10 5 2018
Statut: ppublish

Résumé

The use of both hands simultaneously when manipulating objects is fairly commonplace, but it is not known what factors encourage people to use two hands as opposed to one during simple tasks such as transport. In particular, we are interested in three possible transport strategies: unimanual transport, handing off between hands, and symmetric bimanual transport. In this study, we investigate the effect of object size, weight, and starting and ending position (configuration) as well as the need to balance the object on the use of these three strategies in a bowl-moving task. We find that configuration and balance have a strong effect on choice of strategy, and size and weight have a weaker effect. Hand-offs are most often used when the task requires moving an object from left to right and vice versa, while the unimanual strategy was frequently used when passing front to back. The bimanual strategy is only weakly affected by configuration. The need to balance an object causes subjects to favor unimanual and bimanual strategies over the hand-off. In addition, an analysis of transport duration and body rotation suggests that strategy choice may be driven by the desire to minimize body rotation.

Identifiants

pubmed: 29741471
doi: 10.1080/00222895.2018.1465391
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

245-258

Auteurs

Yuzuko C Nakamura (YC)

a Computer Science Department , Carnegie Mellon University , Pittsburgh , USA.

Carol A O'Sullivan (CA)

b Disney Research , Glendale , CA , USA.
c School of Computer Science and Statistics, Trinity College Dublin , Dublin , Ireland.

Nancy S Pollard (NS)

a Computer Science Department , Carnegie Mellon University , Pittsburgh , USA.

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Classifications MeSH