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Continuous concurrent feedback degrades skill learning: implications for training and simulation

R A Schmidt1, G Wulf

  • 1Failure Analysis Associates, Inc., Los Angeles, CA 90025, USA. rschmidt@fail.com

Human Factors
|February 25, 1998
PubMed
Summary
This summary is machine-generated.

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Continuous visual feedback during practice hinders motor learning. While it aids some aspects of movement scaling, it impairs the stability of the motor program and its parameterization, negatively impacting retention.

Area of Science:

  • Motor Learning
  • Human Movement Science
  • Cognitive Psychology

Background:

  • Continuous concurrent visual feedback is often used in training.
  • Its impact on discrete motor skill acquisition, particularly on motor programs and parameterization, is not fully understood.
  • Previous research focused on slower, closed-loop movements.

Purpose of the Study:

  • To investigate the role of continuous concurrent visual feedback in learning discrete movement tasks.
  • To differentiate the effects of feedback on the generalized motor program versus parameterization processes.
  • To assess the impact of feedback on retention of motor skills.

Main Methods:

  • Two experiments were conducted with participants learning discrete movement tasks.
  • Participants received either on-line visual feedback or no on-line feedback during practice, with post-action kinematic feedback in both conditions.

Related Experiment Videos

  • Learning was assessed via retention tests the following day, distinguishing between motor program and parameterization errors.

    • Main Results:

    • Concurrent visual feedback improved parameterization during practice but decreased motor program stability.
    • Retention tests showed that continuous feedback generally interfered with learning an accurate motor program.
    • Continuous feedback degraded the stability of time parameterization in retention.

    Conclusions:

    • Continuous concurrent visual feedback can be detrimental to motor learning, even in rapid, discrete tasks.
    • This feedback degrades the learning of both motor programs and their parameterization.
    • Findings suggest caution when implementing continuous feedback in training and simulation environments.