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Skill Learning and Skill Transfer Mediated by Cooperative Haptic Interaction

IEEE transactions on neural systems and rehabilitation engineering, 2017-07, Vol.25 (7), p.832-843 [Peer Reviewed Journal]

ISSN: 1534-4320 ;EISSN: 1558-0210 ;DOI: 10.1109/TNSRE.2017.2700839 ;PMID: 28500006 ;CODEN: ITNSB3

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  • Title:
    Skill Learning and Skill Transfer Mediated by Cooperative Haptic Interaction
  • Author: Avila Mireles, Edwin Johnatan ; Zenzeri, Jacopo ; Squeri, Valentina ; Morasso, Pietro ; De Santis, Dalia
  • Subjects: Couplings ; Force ; Haptic interfaces ; humanhuman interaction ; motor learning ; neural control of movement ; Physical human-robot interaction ; Robots ; skill learning ; Springs ; Training
  • Is Part Of: IEEE transactions on neural systems and rehabilitation engineering, 2017-07, Vol.25 (7), p.832-843
  • Description: It is known that physical coupling between two subjects may be advantageous in joint tasks. However, little is known about how two people mutually exchange information to exploit the coupling. Therefore, we adopted a reversed, novel perspective to the standard one that focuses on the ability of physically coupled subjects to adapt to cooperative contexts that require negotiating a common plan: we investigated how training in pairs on a novel task affects the development of motor skills of each of the interacting partners. The task involved reaching movements in an unstable dynamic environment using a bilateral non-linear elastic tool that could be used bimanually or dyadically. The main result is that training with an expert leads to the greatest performance in the joint task. However, the performance in the individual test is strongly affected by the initial skill level of the partner. Moreover, practicing with a peer rather than an expert appears to be more advantageous for a naive; and motor skills can be transferred to a bimanual context, after training with an expert, only if the non-expert subject had prior experience of the dynamics of the novel task.
  • Publisher: IEEE
  • Language: English
  • Identifier: ISSN: 1534-4320
    EISSN: 1558-0210
    DOI: 10.1109/TNSRE.2017.2700839
    PMID: 28500006
    CODEN: ITNSB3
  • Source: IEEE Xplore Open Access Journals
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