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Interpersonal motor synergy: coworking strategy depends on task constraints.

Authors :
Honarvar, Sara
Caminita, Mia
Ehsani, Hossein
Hyun Jun Kwon
Diaz-Mercado, Yancy
Jin-Oh Hahn
Kiemel, Tim
Jae Kun Shim
Source :
Journal of Neurophysiology. Nov2021, Vol. 126 Issue 5, p1698-1709. 12p.
Publication Year :
2021

Abstract

We investigated the role of task constraints on interpersonal interactions. Twenty-one pairs of coworkers performed a finger force production task on force sensors placed at two ends of a seesaw-like apparatus and matched a combined target force of 20 N for 23 s over 10 trials. There were two experimental conditions: 1) FIXED: the seesaw apparatus was mechanically held in place so that the only task constraint was to match the 20 N resultant force, and 2) MOVING: the lever in the apparatus was allowed to rotate freely around its fulcrum, acting like a seesaw, so an additional task constraint to (implicitly) balance the resultant moment was added. We hypothesized that the additional task constraint of moment stabilization imposed on the MOVING condition would deteriorate task performance compared with the FIXED condition; however, this was rejected, as the performance of the force matching task was similar between two conditions. We also hypothesized that the central nervous systems (CNSs) would employ distinct coworking strategies or interpersonal motor synergy (IPMS) between conditions to satisfy different task constraints, which was supported by our results. Negative covariance between coworker’s forces in the FIXED condition suggested a force stabilization strategy, whereas positive covariance in the MOVING condition suggested a moment stabilization strategy, implying that independent CNSs adopt distinct IPMSs depending on task constraints. We speculate that in the absence of a central neural controller, shared visual and mechanical connections between coworkers may suffice to trigger modulations in the cerebellum of each CNS to satisfy competing task constraints. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223077
Volume :
126
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Neurophysiology
Publication Type :
Academic Journal
Accession number :
153562332
Full Text :
https://doi.org/10.1152/jn.00023.2021