Validation of the Bayesian sensory uncertainty model of motor adaptation with a remote experimental paradigm

This is the authors' abstract. We don't add key points for this paper.

Understanding human motor learning and adaptation processes is an integral step in developing rehabilitative engineering solutions and training strategies for assistive technologies. Natural skill acquisition enables continually precise movements despite inherent noise in motor execution, sensory perception, and dynamic changes in body parameters (growth, age, etc.) and the external environment. As an initial step, motor learning research has aimed to identify the mechanisms of natural human adaptation during the acquisition of motor skills. Results presented here confirm previous work on motor adaptation using a remote web-based experimental paradigm that could provide a valuable option to conduct additional future work with expanded more diverse subject populations.