Literature DB >> 25673732

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Jaime E Duarte1, David J Reinkensmeyer2.   

Abstract

It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of practice in a virtual simulation of golf putting. On day 1, participants became relatively skilled at putting to a near and far target by first practicing without force fields. On day 2, they warmed up at the task without force fields, then practiced with force fields that either reduced or augmented their kinematic errors and were finally assessed without the force fields active. On day 3, they returned for a long-term assessment, again without force fields. A control group practiced without force fields. We quantified motor skill as the variability in impact velocity at which participants putted the ball. We quantified motivation using a self-reported, standardized scale. Only individuals who were initially less skilled benefited from training; for these people, practicing with reduced kinematic variability improved skill more than practicing in the control condition. This reduced kinematic variability also improved self-reports of competence and satisfaction. Practice with increased kinematic variability worsened these self-reports as well as enjoyment. These negative motivational effects persisted on day 3 in a way that was uncorrelated with actual skill. In summary, robotically reducing kinematic errors in a golf putting training session improved putting skill more for less skilled putters. Robotically increasing kinematic errors had no performance effect, but decreased motivation in a persistent way.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  motivation; motor learning; motor skill; movement variability; robotic training

Mesh:

Year:  2015        PMID: 25673732      PMCID: PMC4416588          DOI: 10.1152/jn.00163.2014

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  36 in total

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  13 in total

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2.  Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

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5.  It Pays to Go Off-Track: Practicing with Error-Augmenting Haptic Feedback Facilitates Learning of a Curve-Tracing Task.

Authors:  Camille K Williams; Luc Tremblay; Heather Carnahan
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6.  Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals.

Authors:  Marie-Hélène Milot; Laura Marchal-Crespo; Louis-David Beaulieu; David J Reinkensmeyer; Steven C Cramer
Journal:  Exp Brain Res       Date:  2018-08-21       Impact factor: 1.972

7.  Haptic Error Modulation Outperforms Visual Error Amplification When Learning a Modified Gait Pattern.

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8.  Reshaping Movement Distributions With Limit-Push Robotic Training.

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9.  Effect of Error Augmentation on Brain Activation and Motor Learning of a Complex Locomotor Task.

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