Effects of Vibrotactile Feedback on Human Learning of Arm Motions
Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates f...
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| Published in | IEEE transactions on neural systems and rehabilitation engineering Vol. 23; no. 1; pp. 51 - 63 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.01.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates from a desired trajectory. A study was conducted to test the effects of vibrotactile guidance on a subject's ability to learn arm motions. Twenty-six subjects learned motions of varying difficulty with both visual (V), and visual and vibrotactile (VVT) feedback over the course of four days of training. After four days of rest, subjects returned to perform the motions from memory with no feedback. We found that augmenting visual feedback with vibrotactile feedback helped subjects reduce the root mean square (rms) angle error of their limb significantly while they were learning the motions, particularly for 1DOF motions. Analysis of the retention data showed no significant difference in rms angle errors between feedback conditions. |
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| AbstractList | Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates from a desired trajectory. A study was conducted to test the effects of vibrotactile guidance on a subject's ability to learn arm motions. Twenty-six subjects learned motions of varying difficulty with both visual (V), and visual and vibrotactile (VVT) feedback over the course of four days of training. After four days of rest, subjects returned to perform the motions from memory with no feedback. We found that augmenting visual feedback with vibrotactile feedback helped subjects reduce the root mean square (rms) angle error of their limb significantly while they were learning the motions, particularly for 1DOF motions. Analysis of the retention data showed no significant difference in rms angle errors between feedback conditions. Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates from a desired trajectory. A study was conducted to test the effects of vibrotactile guidance on a subject's ability to learn arm motions. Twenty-six subjects learned motions of varying difficulty with both visual (V), and visual and vibrotactile (VVT) feedback over the course of four days of training. After four days of rest, subjects returned to perform the motions from memory with no feedback. We found that augmenting visual feedback with vibrotactile feedback helped subjects reduce the root mean square (rms) angle error of their limb significantly while they were learning the motions, particularly for 1DOF motions. Analysis of the retention data showed no significant difference in rms angle errors between feedback conditions.Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates from a desired trajectory. A study was conducted to test the effects of vibrotactile guidance on a subject's ability to learn arm motions. Twenty-six subjects learned motions of varying difficulty with both visual (V), and visual and vibrotactile (VVT) feedback over the course of four days of training. After four days of rest, subjects returned to perform the motions from memory with no feedback. We found that augmenting visual feedback with vibrotactile feedback helped subjects reduce the root mean square (rms) angle error of their limb significantly while they were learning the motions, particularly for 1DOF motions. Analysis of the retention data showed no significant difference in rms angle errors between feedback conditions. |
| Author | Hyman, Emily Jax, Steven A. Buxbaum, Laurel J. Cha, Elizabeth Bark, Karlin Tan, Frank Kuchenbecker, Katherine J. |
| Author_xml | – sequence: 1 givenname: Karlin surname: Bark fullname: Bark, Karlin email: kbark@seas.upenn.edu organization: Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA – sequence: 2 givenname: Emily surname: Hyman fullname: Hyman, Emily organization: Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA – sequence: 3 givenname: Frank surname: Tan fullname: Tan, Frank organization: Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA – sequence: 4 givenname: Elizabeth surname: Cha fullname: Cha, Elizabeth organization: Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA – sequence: 5 givenname: Steven A. surname: Jax fullname: Jax, Steven A. organization: Moss Rehabilitation Research Institute, Elkins Park – sequence: 6 givenname: Laurel J. surname: Buxbaum fullname: Buxbaum, Laurel J. organization: Moss Rehabilitation Research Institute, Elkins Park – sequence: 7 givenname: Katherine J. surname: Kuchenbecker fullname: Kuchenbecker, Katherine J. email: kuchenbe@seas.upenn.edu organization: Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA |
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| SubjectTerms | Actuators Algorithms Arm - physiology Feedback Feedback, Psychological - physiology Feedback, Sensory - physiology Haptic interfaces Humans Joints Learning Learning - physiology Lightweight Memory - physiology motion guidance Movement - physiology Movements Practice (Psychology) Rehabilitation - methods rehabilitation robotics Robotics Touch - physiology Tracking Training Trajectories Trajectory user interfaces Vibration Vibrations Visual Visualization Weight reduction |
| Title | Effects of Vibrotactile Feedback on Human Learning of Arm Motions |
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