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

Motor learning is a process whereby the acquisition of new skills occurs with practice, and can be influenced by the provision of feedback. An important question is what frequency of feedback facilitates motor learning. The guidance hypothesis assumes that the provision of less augmented feedback is better than more because a learner can use his/her own inherent feedback. However, it is unclear whether this hypothesis holds true for all types of augmented feedback, including for example sonified information about performance. Thus, we aimed to test what frequency of augmented sonified feedback facilitates the motor learning of a novel joint coordination pattern. Twenty healthy volunteers first reached to a target with their arm (baseline phase). We manipulated this baseline kinematic data for each individual to create a novel target joint coordination pattern. Participants then practiced to learn the novel target joint coordination pattern, receiving either feedback on every trial i.e., 100% feedback (n = 10), or every other trial, i.e., 50% feedback (n = 10; acquisition phase). We created a sonification system to provide the feedback. This feedback was a pure tone that varied in intensity in proportion to the error of the performed joint coordination relative to the target pattern. Thus, the auditory feedback contained information about performance in real-time (i.e., “concurrent, knowledge of performance feedback”). Participants performed the novel joint coordination pattern with no-feedback immediately after the acquisition phase (immediate retention phase), and on the next day (delayed retention phase). The root-mean squared error (RMSE) and variable error (VE) of joint coordination were significantly reduced during the acquisition phase in both 100 and 50% feedback groups. There was no significant difference in VE between the groups at immediate and delayed retention phases. However, at both these retention phases, the 100% feedback group showed significantly smaller RMSE than the 50% group. Thus, contrary to the guidance hypothesis, our findings suggest that the provision of more, concurrent knowledge of performance auditory feedback during the acquisition of a novel joint coordination pattern, may result in better skill retention.

[1]  Bruno H Repp,et al.  Auditory dominance in temporal processing: new evidence from synchronization with simultaneous visual and auditory sequences. , 2002, Journal of experimental psychology. Human perception and performance.

[2]  S. Swinnen,et al.  Motor learning with augmented feedback: modality-dependent behavioral and neural consequences. , 2011, Cerebral cortex.

[3]  Gabriele Wulf,et al.  Frequent External-Focus Feedback Enhances Motor Learning , 2010, Front. Psychology.

[4]  D. V. Vander Linden,et al.  The effect of frequency of kinetic feedback on learning an isometric force production task in nondisabled subjects. , 1993, Physical therapy.

[5]  Aniruddh D. Patel,et al.  The influence of metricality and modality on synchronization with a beat , 2005, Experimental Brain Research.

[6]  K. Kamibayashi Motor Control and Learning , 2014 .

[7]  M. Levin Interjoint coordination during pointing movements is disrupted in spastic hemiparesis. , 1996, Brain : a journal of neurology.

[8]  Yohsuke R. Miyamoto,et al.  Temporal structure of motor variability is dynamically regulated and predicts motor learning ability , 2014, Nature Neuroscience.

[9]  B. Repp,et al.  Rhythmic movement is attracted more strongly to auditory than to visual rhythms , 2004, Psychological research.

[10]  S. Furuya,et al.  Effective utilization of gravity during arm downswing in keystrokes by expert pianists , 2009, Neuroscience.

[11]  R. Riener,et al.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review , 2012, Psychonomic Bulletin & Review.

[12]  E. Altenmüller,et al.  Moving with music for stroke rehabilitation: a sonification feasibility study , 2015, Annals of the New York Academy of Sciences.

[13]  Liming Wu,et al.  Sonification as a possible stroke rehabilitation strategy , 2014, Front. Neurosci..

[14]  C. Shea,et al.  Principles derived from the study of simple skills do not generalize to complex skill learning , 2002, Psychonomic bulletin & review.

[15]  R. Schmidt,et al.  Reduced frequency of knowledge of results enhances motor skill learning. , 1990 .

[16]  Masaya Hirashima,et al.  Induced Acceleration Analysis of Three-Dimensional Multi-Joint Movements and Its Application to Sports Movements , 2011 .

[17]  C Hall,et al.  Prism adaptation in normal aging: slower adaptation rate and larger aftereffect. , 2000, Brain research. Cognitive brain research.

[18]  S. Swinnen,et al.  Interlimb coordination: Learning and transfer under different feedback conditions , 1997 .

[19]  Michael J. Spivey,et al.  Compatibility of motion facilitates visuomotor synchronization. , 2010, Journal of experimental psychology. Human perception and performance.

[20]  Charles H. Shea,et al.  Reduced-Frequency Concurrent and Terminal Feedback: A Test of the Guidance Hypothesis , 2000, Journal of motor behavior.

[21]  Richard A. Schmidt,et al.  Scheduling Information Feedback to Enhance Training Effectiveness , 1991 .

[22]  R. Schmidt,et al.  Knowledge of results and motor learning: a review and critical reappraisal. , 1984, Psychological bulletin.

[23]  C. Shea,et al.  Frequent feedback enhances complex motor skill learning. , 1998, Journal of motor behavior.

[24]  Reza Shadmehr,et al.  Motor variability is not noise, but grist for the learning mill , 2014, Nature Neuroscience.

[25]  Timothy D. Lee,et al.  Effects of Aging and Reduced Relative Frequency of Knowledge of Results on Learning a Motor Skill , 1997, Perceptual and motor skills.

[26]  Richard A. Schmidt,et al.  Frequent Augmented Feedback Can Degrade Learning: Evidence and Interpretations , 1991 .

[27]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[28]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[29]  Roberto Bresin,et al.  A Systematic Review of Mapping Strategies for the Sonification of Physical Quantities , 2013, PloS one.

[30]  Peter Wolf,et al.  Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning , 2014, Experimental Brain Research.

[31]  D. C. Shapiro,et al.  Summary knowledge of results for skill acquisition: support for the guidance hypothesis. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[32]  Georg v. Békésy,et al.  A New Audiometer , 1947 .

[33]  M. Levin,et al.  Improvement of Arm Movement Patterns and Endpoint Control Depends on Type of Feedback During Practice in Stroke Survivors , 2007, Neurorehabilitation and neural repair.

[34]  T D Lee,et al.  Effects of aging and schedules of knowledge of results on motor learning. , 1992, Journal of gerontology.

[35]  Tal Jarus,et al.  Is More Always Better? Optimal Amounts of Feedback in Learning to Calibrate Sensory Awareness , 1995 .