Use of variable online visual feedback to optimize sensorimotor coding and learning of a motor sequence

Marie Bernardo, Yannick Blandin, Géry Casiez and Cécile R Scotto

PLOS ONE, 2023, vol. 18, issue 11, 1-18

Abstract: The present study characterized the impact of reliable and/or unreliable online visual feedback and their order of presentation on the coding and learning of a motor sequence. Participants practiced a 12-element motor sequence 200 times. During this acquisition phase, two groups received a single type (i.e., either reliable or unreliable) of online visual feedback, two other groups encountered both types of feedback: either reliable first then unreliable, or unreliable first then reliable. Delayed retention tests and intermanual transfer tests (visuospatial and motor) were administered 24 hours later. Results showed that varying the reliability of online visual information during the acquisition phase allowed participants to use different task coding modalities without damaging their long-term sequence learning. Moreover, starting with reliable visual feedback, replaced halfway through with unreliable feedback promoted motor coding, which is seldom observed. This optimization of motor coding opens up interesting perspectives, as it is known to promote better learning of motor sequences.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0294138

DOI: 10.1371/journal.pone.0294138

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