Literature DB >> 25511166

Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning.

Roland Sigrist1, Georg Rauter, Laura Marchal-Crespo, Robert Riener, Peter Wolf.   

Abstract

Concurrent augmented feedback has been shown to be less effective for learning simple motor tasks than for complex tasks. However, as mostly artificial tasks have been investigated, transfer of results to tasks in sports and rehabilitation remains unknown. Therefore, in this study, the effect of different concurrent feedback was evaluated in trunk-arm rowing. It was then investigated whether multimodal audiovisual and visuohaptic feedback are more effective for learning than visual feedback only. Naïve subjects (N = 24) trained in three groups on a highly realistic virtual reality-based rowing simulator. In the visual feedback group, the subject's oar was superimposed to the target oar, which continuously became more transparent when the deviation between the oars decreased. Moreover, a trace of the subject's trajectory emerged if deviations exceeded a threshold. The audiovisual feedback group trained with oar movement sonification in addition to visual feedback to facilitate learning of the velocity profile. In the visuohaptic group, the oar movement was inhibited by path deviation-dependent braking forces to enhance learning of spatial aspects. All groups significantly decreased the spatial error (tendency in visual group) and velocity error from baseline to the retention tests. Audiovisual feedback fostered learning of the velocity profile significantly more than visuohaptic feedback. The study revealed that well-designed concurrent feedback fosters complex task learning, especially if the advantages of different modalities are exploited. Further studies should analyze the impact of within-feedback design parameters and the transferability of the results to other tasks in sports and rehabilitation.

Mesh:

Year:  2014        PMID: 25511166     DOI: 10.1007/s00221-014-4167-7

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  73 in total

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-03-07       Impact factor: 3.802

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Authors:  John J Buchanan; Chaoyi Wang
Journal:  Exp Brain Res       Date:  2012-04-13       Impact factor: 1.972

9.  Transfer of complex skill learning from virtual to real rowing.

Authors:  Georg Rauter; Roland Sigrist; Claudio Koch; Francesco Crivelli; Mark van Raai; Robert Riener; Peter Wolf
Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

Review 10.  Structure learning in action.

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Journal:  Behav Brain Res       Date:  2009-08-29       Impact factor: 3.332

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  19 in total

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Journal:  Exp Brain Res       Date:  2018-08-28       Impact factor: 1.972

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5.  The effectiveness of robotic training depends on motor task characteristics.

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6.  Movement Sonification: Effects on Motor Learning beyond Rhythmic Adjustments.

Authors:  Alfred O Effenberg; Ursula Fehse; Gerd Schmitz; Bjoern Krueger; Heinz Mechling
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7.  Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications.

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8.  Synergistic Effects on the Elderly People's Motor Control by Wearable Skin-Stretch Device Combined with Haptic Joystick.

Authors:  Han U Yoon; Namita Anil Kumar; Pilwon Hur
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9.  Auditory Proprioceptive Integration: Effects of Real-Time Kinematic Auditory Feedback on Knee Proprioception.

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Journal:  Front Neurosci       Date:  2018-03-08       Impact factor: 4.677

10.  More Feedback Is Better than Less: Learning a Novel Upper Limb Joint Coordination Pattern with Augmented Auditory Feedback.

Authors:  Shinya Fujii; Tea Lulic; Joyce L Chen
Journal:  Front Neurosci       Date:  2016-06-06       Impact factor: 4.677

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