Haptic communication between humans is tuned by the hard or soft mechanics of interaction

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Title: Haptic communication between humans is tuned by the hard or soft mechanics of interaction
Author(s): Takagi, A
Usai, F
Ganesh, G
Sanguineti, V
Burdet, E
Item Type: Journal Article
Abstract: To move a hard table together, humans may coordinate by following the dominant partner's motion [1-4], but this strategy is unsuitable for a soft mattress where the perceived forces are small. How do partners readily coordinate in such differing interaction dynamics? To address this, we investigated how pairs tracked a target using flexion-extension of their wrists, which were coupled by a hard, medium or soft virtual elastic band. Tracking performance monotonically increased with a stiffer band for the worse partner, who had higher tracking error, at the cost of the skilled partner's muscular effort. This suggests that the worse partner followed the skilled one's lead, but simulations show that the results are better explained by a model where partners share movement goals through the forces, whilst the coupling dynamics determine the capacity of communicable information. This model elucidates the versatile mechanism by which humans can coordinate during both hard and soft physical interactions to ensure maximum performance with minimal effort.
Publication Date: 22-Mar-2018
Date of Acceptance: 15-Jan-2018
URI: http://hdl.handle.net/10044/1/58286
DOI: https://dx.doi.org/10.1371/journal.pcbi.1005971
ISSN: 1553-734X
Publisher: Public Library of Science (PLoS)
Journal / Book Title: PLoS Computational Biology
Volume: 14
Issue: 3
Copyright Statement: © 2018 Takagi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sponsor/Funder: Commission of the European Communities
Commission of the European Communities
Commission of the European Communities
Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: 231724
601003
611626
644727
EP/N032772/1
Copyright Statement: © 2018 Takagi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: 06 Biological Sciences
08 Information And Computing Sciences
01 Mathematical Sciences
Bioinformatics
Publication Status: Published
Conference Place: United States
Article Number: e1005971
Appears in Collections:Faculty of Engineering
Bioengineering



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