Amplifying Force-Feedback Cues for Enhancing Dexterous Skill Transfer in Virtual Environments
Eunchae Kim, Jaewan Lim, Jiyoung Park, Yongjae Yoo
Abstract
How to teach sensorimotor skills in haptic virtual environments is a classic research question and has been investigated with different target skills and strategies. In this study, we studied how to assist users by modulating haptic sensations in the learning environment, presented via a force-feedback haptic device. We developed a haptic amplification method and evaluated its effectiveness on skill training with the target skill of needle felting. To this end, we initially collected the force profile data captured from an expert's job and amplified the magnitude of force to be felt clearly. Then, the augmented haptic sensations were rendered in the virtual learning environment. We assessed the usefulness of our method by conducting a user study with 24 participants performing virtual needle felting tasks involving many micro-movements. As a result, amplified force profile feedback significantly improved the novice participants' learning performance. Based on the results, we then discussed how we can provide an adequate haptic feedback method on learning tasks, especially in fields requiring precise dexterous or tool movements.