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Large-scale web-based approach reveals predictors of successful motor learning

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Leveraging over 2,000 data sessions from a citizen science website, this large-scale exploratory research study revealed demographic (age, sex and daily computer usage) and task features (task enjoyment and baseline movement times) that predicted the extent of successful sensorimotor adaptation in participants’ reaching movements after a visuomotor perturbation.

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Fig. 1: Assessment of sensorimotor adaptation using a web-based reaching task.

References

  1. Tsay, J. S., Kim, H., Haith, A. M. & Ivry, R. B. Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment. eLife 11, e76639 (2022). This paper is a thorough theoretical review that focuses on implicit motor learning.

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This is a summary of: Tsay, J. S. et al. Large-scale citizen science reveals predictors of sensorimotor adaptation. Nat. Hum. Behav. https://doi.org/10.1038/s41562-023-01798-0 (2024).

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Large-scale web-based approach reveals predictors of successful motor learning. Nat Hum Behav 8, 420–421 (2024). https://doi.org/10.1038/s41562-023-01809-0

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