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Updated: May 12, 2026

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
Published on: September 18, 2017
The direction of bilateral transfer depends on the performance parameter
Zhujun Pan1, Arend W A van Gemmert
1Fine Motor Control and Learning Laboratory, Department of Kinesiology, Louisiana State University, 112 HP Long Fieldhouse, Baton Rouge, LA 70803, USA.
Bilateral transfer in visuo-motor tasks shows that initial movement production parameters transfer to the non-dominant hand. Overall movement outcomes transfer in both directions, supporting the dynamic dominance model.
Area of Science:
- Motor Control
- Neuroscience
- Human Movement Science
Background:
- Bilateral transfer describes how learning in one limb can improve performance in the contralateral limb.
- Understanding the mechanisms of bilateral transfer is crucial for rehabilitation and skill acquisition.
Purpose of the Study:
- To investigate the directionality of learning benefits in a visuo-motor task.
- To explore potential mechanisms underlying bilateral transfer in motor control.
Main Methods:
- Participants learned a point-to-point drawing task with altered visual feedback (rotation and gain).
- Performance of the untrained hand was assessed for parameters including movement time, trajectory length, and initial direction error.
- Analysis focused on transfer directionality to dominant and non-dominant hands.
Main Results:
- Movement production parameters (initial direction, sub-movement timing, post-movement accuracy) transferred only to the non-dominant hand.
- Movement outcome parameters (duration, smoothness, trajectory length) transferred bilaterally.
- Findings support the dynamic dominance model, suggesting trajectory parameters control non-dominant system improvements.
Conclusions:
- The direction of bilateral transfer depends on the specific motor control parameters assessed.
- Motor learning in visuo-motor tasks exhibits asymmetric transfer patterns.
- The dynamic dominance model provides a framework for understanding these transfer asymmetries.
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