Interaction with a reactive partner improves learning in contrast to passive guidance.

ABSTRACT: Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physical assistance from a partner. While this assistance may be provided by a robotic interface, how to implement the necessary haptic support to help improve performance without impeding learning is unclear. In this paper, we study the influence of haptic interaction on the performance and learning of a shared tracking task. We compare in a tracking task the interaction with a human partner, the trajectory guidance traditionally used in training robots, and a robot partner yielding human-like interaction. While trajectory guidance resulted in the best performance during training, it dramatically reduced error variability and hindered learning. In contrast, the reactive human and robot partners d

SUBMITTER: Ivanova E 

PROVIDER: S-EPMC9499977 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature