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Updated: May 24, 2025

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
Published on: September 18, 2017
Visual properties of action consequences and not environments affect context-specific motor learning
Shanaathanan Modchalingam1,2, Andrew King3,2, Bernard Marius 't Hart2
1School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Abstract:
The human motor system can adapt to perturbations by updating existing internal models of motor control or by creating context-specific motor memories or strategies that can be flexibly activated or deactivated. Using a virtual target-directed ball rolling task, we investigate whether motor learning is context specific when perturbations are applied to either the throw direction of a ball, or the acceleration of the ball postrelease. In addition, by altering the visual slant of the task surface in an immersive virtual-reality environment, we determine whether informative visual cues that predict visual perturbations to expected action consequences affect the propensity for context-specific motor learning. Our findings reveal that perturbations resembling postthrow accelerations enable flexible, context-specific motor adaptation regardless of the presence of the visual slant cues. Perturbations in the throw directions, conversely, lead to the updating of existing internal models. In addition, we find fast implicit visual-context-specific changes in performance during early learning and context switching. Our findings underscore the role of visual properties of both perturbations and environments in flexible and generalizable motor learning. Data and analysis scripts are available at https://osf.io/a5nv3/.NEW & NOTEWORTHY We investigated how the visual features of action consequences, like the trajectory of a thrown ball, influence the brain's ability to adapt motor skills in changing contexts. We show that perturbations mimicking real-world accelerations enable context-specific adaptation, unlike visuomotor rotations. In addition, we found that visual environment context can modulate early implicit motor behavior but does not affect the propensity for updating existing internal models during motor learning.
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