title: Implicit guidance to stable performance in a rhythmic perceptual-motor skill.
abstract: Feedback about error or reward is regarded essential for aiding learners to acquire a perceptual-motor skill. Yet, when a task has redundancy and the mapping between execution and performance outcome is unknown, simple error feedback does not suffice in guiding the learner toward the optimal solutions. 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 robust to small errors and noise, a strategy that is independent from actively correcting error. Based on the task model implemented in a virtual environment, a time-shift manipulation was designed to shift the range of ball-racket contacts that achieved 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 strategy, 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 especially in tasks with redundancy, where error feedback may not be sufficient.
authors.affiliation: Department of Bioengineering, Northeastern University, 360 Huntington Avenue, 134 Mugar Life Sciences Building, Boston, MA, 02115, USA, mehuber@coe.neu.edu.
authors.forename: Meghan E
authors.initials: ME
authors.lastname: Huber
authors.forename: Dagmar
authors.initials: D
authors.lastname: Sternad
mesh_terms: D000293:Adolescent; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D056228:Feedback, Sensory / Q000502:physiology*; D005260:Female; D006801:Humans; D007858:Learning / Q000502:physiology; D008297:Male; D009048:Motor Skills / Q000502:physiology*; D010465:Perception / Q000502:physiology*; D010507:Periodicity; D018709:Statistics, Nonparametric; D013997:Time Factors; D055815:Young Adult
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