Implicit Guidance to Stable Performance in a Rhythmic Perceptual-Motor Skill
Identifieur interne : 000523 ( Pmc/Checkpoint ); précédent : 000522; suivant : 000524Implicit Guidance to Stable Performance in a Rhythmic Perceptual-Motor Skill
Auteurs : Meghan E. Huber [États-Unis] ; Dagmar Sternad [États-Unis]Source :
- Experimental brain research [ 0014-4819 ] ; 2015.
Abstract
Feedback information about error or reward is regarded essential to aid learners to acquire a perceptual-motor skill. Yet, simple error feedback does not suffice in guiding the learner towards the optimal solutions, when tasks have redundancy where the mapping between execution and performance outcome is unknown. The present study developed and tested a new means of implicitly guiding learners to acquire a perceptual-motor skill, rhythmically bouncing a ball on a racket. Due to its rhythmic nature, this task affords dynamically stable solutions that are resistant to small errors and noise, a strategy that is independent from simply reducing error. Based on the task model implemented in a virtual environment, a state-dependent manipulation was designed that shifted the range of ball-racket contacts that achieved to dynamically stable solutions. In two experiments, subjects practiced with this manipulation that guided them to impact the ball with more negative racket accelerations, the indicator for the strategy with dynamic stability. Subjects who practiced under normal conditions took longer time to acquire this skill, although error measures were identical between the control and experimental groups. Unlike in many other haptic guidance or adaptation studies, the experimental groups not only learned but also maintained the stable solution after the manipulation was removed. These results are a first demonstration that more subtle ways to guide the learner to better performance are needed to assist performance improvements, especially in tasks with redundancy, where error feedback may not be sufficient.
Url:
DOI: 10.1007/s00221-015-4251-7
PubMed: 25821180
PubMed Central: 4439284
Affiliations:
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PMC:4439284Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">Feedback information about error or reward is regarded essential to aid learners to acquire a perceptual-motor skill. Yet, simple error feedback does not suffice in guiding the learner towards the optimal solutions, when tasks have redundancy where the mapping between execution and performance outcome is unknown. The present study developed and tested a new means of implicitly guiding learners to acquire a perceptual-motor skill, rhythmically bouncing a ball on a racket. Due to its rhythmic nature, this task affords dynamically stable solutions that are resistant to small errors and noise, a strategy that is independent from simply reducing error. Based on the task model implemented in a virtual environment, a state-dependent manipulation was designed that shifted the range of ball-racket contacts that achieved to dynamically stable solutions. In two experiments, subjects practiced with this manipulation that guided them to impact the ball with more negative racket accelerations, the indicator for the strategy with dynamic stability. Subjects who practiced under normal conditions took longer time to acquire this skill, although error measures were identical between the control and experimental groups. Unlike in many other haptic guidance or adaptation studies, the experimental groups not only learned but also maintained the stable solution after the manipulation was removed. These results are a first demonstration that more subtle ways to guide the learner to better performance are needed to assist performance improvements, especially in tasks with redundancy, where error feedback may not be sufficient.</p>
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Department of Bioengineering, Northeastern University, Boston, Massachusetts</aff>
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Department of Biology, Northeastern University, Boston, Massachusetts</aff>
<aff id="A3"><label>3</label>
Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts</aff>
<aff id="A4"><label>4</label>
Department of Physics, Northeastern University, Boston, Massachusetts</aff>
<author-notes><corresp id="CR1">Correspondence to: Meghan E. Huber, 360 Huntington Avenue, 134 Mugar Life Sciences Building, Boston, MA 02115, <email>mehuber@coe.neu.edu</email>
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<pmc-comment>elocation-id from pubmed: 10.1007/s00221-015-4251-7</pmc-comment>
<abstract><p id="P1">Feedback information about error or reward is regarded essential to aid learners to acquire a perceptual-motor skill. Yet, simple error feedback does not suffice in guiding the learner towards the optimal solutions, when tasks have redundancy where the mapping between execution and performance outcome is unknown. The present study developed and tested a new means of implicitly guiding learners to acquire a perceptual-motor skill, rhythmically bouncing a ball on a racket. Due to its rhythmic nature, this task affords dynamically stable solutions that are resistant to small errors and noise, a strategy that is independent from simply reducing error. Based on the task model implemented in a virtual environment, a state-dependent manipulation was designed that shifted the range of ball-racket contacts that achieved to dynamically stable solutions. In two experiments, subjects practiced with this manipulation that guided them to impact the ball with more negative racket accelerations, the indicator for the strategy with dynamic stability. Subjects who practiced under normal conditions took longer time to acquire this skill, although error measures were identical between the control and experimental groups. Unlike in many other haptic guidance or adaptation studies, the experimental groups not only learned but also maintained the stable solution after the manipulation was removed. These results are a first demonstration that more subtle ways to guide the learner to better performance are needed to assist performance improvements, especially in tasks with redundancy, where error feedback may not be sufficient.</p>
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<kwd-group><kwd>Motor Learning</kwd>
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