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Updated: Jul 18, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Online reach adjustments induced by real-time movement sonification
Michael Barkasi1, Ambika Bansal2, Björn Jörges2
1Centre for Vision Research, York University, 4700 Keele Street, Toronto M3J 1P3, Ontario, Canada; Department of Neuroscience, Washington University School of Medicine in St. Louis, 660 S. Euclid Ave., St. Louis 63110-1010, MO, USA.
Movement sonification enhances motor control through real-time adjustments, improving internal models over time. While online feedback aids initial learning, terminal feedback is more effective for immediate error reduction.
Area of Science:
- Neuroscience
- Motor Control
- Human-Computer Interaction
Background:
- Movement sonification offers a promising auditory feedback method to enhance motor control.
- Its effectiveness in improving motor skills for healthy individuals and those with sensorimotor deficits is established.
- The precise mechanisms driving these improvements, specifically online adjustments versus long-term learning, remain unclear.
Purpose of the Study:
- To investigate whether movement sonification-driven motor improvements stem from real-time trajectory adjustments or multi-trial internal model modifications.
- To differentiate the impact of online (real-time) versus terminal (delayed) sonification feedback on motor control and learning.
Main Methods:
- Compared reach kinematics and error between online and terminal sonification feedback conditions.
- Utilized both between-subject and within-subject designs to assess motor learning and adaptation.
- Analyzed kinematic data for evidence of online trajectory adjustments, such as muscle twitches.
Main Results:
- Reaches with online feedback exhibited significantly more jerky movements, indicating greater online trajectory adjustments.
- Between-subject design revealed superior motor learning with online feedback compared to terminal feedback.
- Within-subject design showed that transitioning from online to terminal feedback reduced errors, suggesting online adjustments are task-specific.
Conclusions:
- Movement sonification facilitates online trajectory adjustments that contribute to improved internal models over multiple trials.
- These online adjustments, while beneficial for learning, do not appear to be optimal for immediate error correction in this task.
- The findings highlight a dual mechanism where sonification aids both immediate adaptation and long-term motor learning.
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