Title :
Haptic Feedback Enhances Force Skill Learning
Author :
Morris, Dan ; Tan, Hong ; Barbagli, Federico ; Chang, Timothy ; Salisbury, Kenneth
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA
Abstract :
This paper explores the use of haptic feedback to teach an abstract motor skill that requires recalling a sequence of forces. Participants are guided along a trajectory and are asked to learn a sequence of one-dimensional forces via three paradigms: haptic training, visual training, or combined visuohaptic training. The extent of learning is measured by accuracy of force recall. We find that recall following visuohaptic training is significantly more accurate than recall following visual or haptic training alone, although haptic training alone is inferior to visual training alone. This suggests that in conjunction with visual feedback, haptic training may be an effective tool for teaching sensorimotor skills that have a force-sensitive component to them, such as surgery. We also present a dynamic programming paradigm to align and compare spatiotemporal haptic trajectories
Keywords :
computer based training; dynamic programming; force feedback; haptic interfaces; teaching; abstract motor skill; dynamic programming; force skill learning; haptic feedback; haptic training; sensorimotor skill teaching; visual feedback; visual training; visuohaptic training; Computer science; Education; Force feedback; Force measurement; Haptic interfaces; Laboratories; Shape; Spatiotemporal phenomena; Surgery; Virtual environment;
Conference_Titel :
EuroHaptics Conference, 2007 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics 2007. Second Joint
Conference_Location :
Tsukaba
Print_ISBN :
0-7695-2738-8
DOI :
10.1109/WHC.2007.65