Abstract
When learning a new motor skill, users may benefit from explicit sensory feedback-haptic, auditory, or visual feedback coming from an external source. Yet, how do we design feedback strategies that best help with learning? With the ultimate goal of developing a valuable simulation tool for haptic designers to choose optimal sensory feedback during motor learning interventions, we first set out to model how users control their movements under different sensory feedback conditions. In this work, we outline a sensorimotor model that showcases our initial effort to explain movement behaviors during a simple 1 Degree of Freedom handle-sliding task when explicit error-based feedback through either vision or vibration is available. We run a pilot study with 8 participants to validate our model. The model results capture some but not all of the differences in the movement data collected during the pilot study. However, this work-in-progress is a significant step towards predicting how different explicit sensory feedback might affect a person’s motor adaptation performance and learning.
The following poster was presented at IEEE’s World Haptics Conference in 2025 by author Olivia Tomassetti. The video further explains the pilot study run and the Work-In-Progress paper explains the current version of the model.