Haptic guidance: experimental evaluation of a haptic training method for a perceptual motor skill
Abstract
In this paper we investigate a use of haptics for skills training which we call haptic guidance. In the haptic guidance paradigm, the subject is physically guided through the ideal motion by the haptic interface, thus giving the subject a kinesthetic understanding of what is required. Subjects learned a complex 3D motion under three training conditions (haptic, visual, haptic and visual) and were required to manually reproduce the movement under two recall conditions (with vision, without vision). Performance was measured in terms of position, shape, timing, and drift. Findings from this study indicate that haptic guidance is effective in training. While visual training was better for teaching the trajectory shape, temporal aspects of the task were more effectively learned from haptic guidance. This supports a possible role for haptics in the training of perceptual motor skills in virtual environments.
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Corbett, B., Nam, C. S., & Yamaguchi, T. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1094914 · Cited by 31 · see citing works
Transmission of forearm motion by tangential deformation of the skin
Kuniyasu, Y., Sato, M., Fukushima, S., & Kajimoto, H. (2012) · Augmented Human International Conference · doi:10.1145/2160125.2160141 · Cited by 30 · see citing works
Active error corrections enhance adaptation to a visuo-motor rotation
Heuer, H., & Rapp, K. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2656-5 · Cited by 29 · see citing works
Haptic Guidance to Support Handwriting for Children With Cognitive and Fine Motor Delays
Park, W., Babushkin, V., Tahir, S., & Eid, M. A. (2021) · IEEE Transactions on Haptics · doi:10.1109/toh.2021.3068786 · Cited by 29 · see citing works
Human-human haptic collaboration in cyclical Fitts' tasks
Gentry, S. E., Féron, É., & Murray‐Smith, R. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545064 · Cited by 28 · see citing works
Simultaneous remote haptic collaboration for assembling tasks
Iglesias, R., Casado, S., Gutiérrez, T., García‐Alonso, A., Yu, W. M., & Marshall, A. (2007) · Multimedia Systems · doi:10.1007/s00530-007-0108-7 · Cited by 28 · see citing works
Evaluation of drawing on 3D surfaces with haptics
Shon, Y., & McMains, S. (2004) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2004.49 · Cited by 28 · see citing works
Tactile taps teach rhythmic text entry
Seim, C., Reynolds-Haertle, S., Srinivas, S., & Starner, T. E. (2016) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/2971763.2971768 · Cited by 28 · see citing works
Lee, B.-C., Fung, A., & Thrasher, T. A. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2762239 · Cited by 28 · see citing works
- Authors
- Feygin, D., Keehner, M., & Tendick, R.
- Affiliations
- University of California, Berkeley (US)
- University of California, San Francisco (US)
- ORCID
- Keehner, M.
- Venue
- Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002
- Publisher
- IEEE Comput. Soc
- Published
- 2003-06-25
- Pages
- 40-47
- OpenAlex
- W2152870685
- Cited by
- 394
- References
- 17
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 10 · 2023: 13 · 2022: 7 · 2021: 8 · 2020: 16 · 2019: 12 · 2018: 20 · 2017: 23 · 2016: 22 · 2015: 16 · 2014: 13 · 2013: 33 · 2012: 19
- FWCI
- 44.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- haptic guidance, haptic interface, perceptual-motor skills, motor skill training, kinesthetic learning, trajectory shape, movement timing, visual training, virtual worlds
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