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Updated: Jul 10, 2025

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
Published on: September 18, 2017
Use of variable online visual feedback to optimize sensorimotor coding and learning of a motor sequence.
Marie Bernardo1, Yannick Blandin1, Géry Casiez2,3
1Centre de Recherche sur la Cognition et l'Apprentissage, Université de Poitiers, Université de Tours, CNRS, Poitiers, France.
This study shows that changing online visual feedback reliability during motor sequence learning helps participants adapt coding strategies without harming long-term retention. Starting with reliable then unreliable feedback particularly enhanced motor coding for better learning.
Area of Science:
- Motor learning
- Cognitive psychology
- Human-computer interaction
Background:
- Online visual feedback is crucial for motor skill acquisition.
- The impact of feedback reliability and its sequential presentation on motor coding remains underexplored.
Purpose of the Study:
- To investigate how reliable and unreliable online visual feedback, and their order, affect motor sequence coding and learning.
- To determine if specific feedback sequences optimize motor coding for enhanced learning.
Main Methods:
- Participants practiced a 12-element motor sequence with varying online visual feedback conditions (reliable, unreliable, or both in sequence).
- Acquisition phase involved 200 practice trials.
- Delayed retention and intermanual transfer tests (visuospatial and motor) were conducted 24 hours later.
Main Results:
- Varying feedback reliability enabled participants to utilize diverse coding modalities without compromising long-term sequence learning.
- A sequence of reliable followed by unreliable feedback significantly promoted motor coding, a rare but beneficial learning strategy.
Conclusions:
- Online visual feedback reliability is a key factor in modulating motor coding strategies during sequence learning.
- Strategic manipulation of feedback reliability, particularly transitioning from reliable to unreliable, offers a promising avenue for optimizing motor learning and retention.
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