Evaluation of an augmented virtual reality and haptic control interface for psychomotor training.
Identifieur interne : 001232 ( Main/Merge ); précédent : 001231; suivant : 001233Evaluation of an augmented virtual reality and haptic control interface for psychomotor training.
Auteurs : David Kaber ; Larry A. Tupler ; Michael Clamann ; Guk-Ho Gil ; Biwen Zhu ; Manida Swangnetr ; Wooram Jeon ; Yu Zhang ; Xiaofeng Qin ; Wenqi Ma ; Yuan-Shin LeeSource :
- Assistive technology : the official journal of RESNA [ 1040-0435 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- physiology : Motor Skills.
- Adolescent, Adult, Computer Simulation, Humans, Teaching, Touch, User-Computer Interface, Young Adult.
Abstract
This study investigated the design of a virtual reality (VR) simulation integrating a haptic control interface for motor skill training. Twenty-four healthy participants were tested and trained in standardized psychomotor control tasks using native and VR forms with their nondominant hands in order to identify VR design features that might serve to accelerate motor learning. The study was also intended to make preliminary observations on the degree of specific motor skill development that can be achieved with a VR-based haptic simulation. Results revealed significant improvements in test performance following training for the VR with augmented haptic features with insignificant findings for the native task and VR with basic haptic features. Although performance during training was consistently better with the native task, a correspondence between the VR training and test task interfaces led to greater improvement in test performance as reported by a difference between baseline and post-test scores. These findings support use of VR-based haptic simulations of standardized psychomotor tests for motor skill training, including visual and haptic enhancements for effective pattern recognition and discrete movement of objects. The results may serve as an applicable guide for design of future haptic VR features.
DOI: 10.1080/10400435.2013.800923
PubMed: 24800454
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Tupler</name></author><author><name sortKey="Clamann, Michael" sort="Clamann, Michael" uniqKey="Clamann M" first="Michael" last="Clamann">Michael Clamann</name></author><author><name sortKey="Gil, Guk Ho" sort="Gil, Guk Ho" uniqKey="Gil G" first="Guk-Ho" last="Gil">Guk-Ho Gil</name></author><author><name sortKey="Zhu, Biwen" sort="Zhu, Biwen" uniqKey="Zhu B" first="Biwen" last="Zhu">Biwen Zhu</name></author><author><name sortKey="Swangnetr, Manida" sort="Swangnetr, Manida" uniqKey="Swangnetr M" first="Manida" last="Swangnetr">Manida Swangnetr</name></author><author><name sortKey="Jeon, Wooram" sort="Jeon, Wooram" uniqKey="Jeon W" first="Wooram" last="Jeon">Wooram Jeon</name></author><author><name sortKey="Zhang, Yu" sort="Zhang, Yu" uniqKey="Zhang Y" first="Yu" last="Zhang">Yu Zhang</name></author><author><name sortKey="Qin, Xiaofeng" sort="Qin, Xiaofeng" uniqKey="Qin X" first="Xiaofeng" last="Qin">Xiaofeng Qin</name></author><author><name sortKey="Ma, Wenqi" sort="Ma, Wenqi" uniqKey="Ma W" first="Wenqi" last="Ma">Wenqi Ma</name></author><author><name sortKey="Lee, Yuan Shin" sort="Lee, Yuan Shin" uniqKey="Lee Y" first="Yuan-Shin" last="Lee">Yuan-Shin Lee</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24800454</idno><idno type="pmid">24800454</idno><idno type="doi">10.1080/10400435.2013.800923</idno><idno type="wicri:Area/PubMed/Corpus">000668</idno><idno type="wicri:Area/PubMed/Curation">000668</idno><idno type="wicri:Area/PubMed/Checkpoint">000658</idno><idno type="wicri:Area/Ncbi/Merge">002F53</idno><idno type="wicri:Area/Ncbi/Curation">002F53</idno><idno type="wicri:Area/Ncbi/Checkpoint">002F53</idno><idno type="wicri:doubleKey">1040-0435:2014:Kaber D:evaluation:of:an</idno><idno type="wicri:Area/Main/Merge">001232</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Evaluation of an augmented virtual reality and haptic control interface for psychomotor training.</title><author><name sortKey="Kaber, David" sort="Kaber, David" uniqKey="Kaber D" first="David" last="Kaber">David Kaber</name></author><author><name sortKey="Tupler, Larry A" sort="Tupler, Larry A" uniqKey="Tupler L" first="Larry A" last="Tupler">Larry A. Tupler</name></author><author><name sortKey="Clamann, Michael" sort="Clamann, Michael" uniqKey="Clamann M" first="Michael" last="Clamann">Michael Clamann</name></author><author><name sortKey="Gil, Guk Ho" sort="Gil, Guk Ho" uniqKey="Gil G" first="Guk-Ho" last="Gil">Guk-Ho Gil</name></author><author><name sortKey="Zhu, Biwen" sort="Zhu, Biwen" uniqKey="Zhu B" first="Biwen" last="Zhu">Biwen Zhu</name></author><author><name sortKey="Swangnetr, Manida" sort="Swangnetr, Manida" uniqKey="Swangnetr M" first="Manida" last="Swangnetr">Manida Swangnetr</name></author><author><name sortKey="Jeon, Wooram" sort="Jeon, Wooram" uniqKey="Jeon W" first="Wooram" last="Jeon">Wooram Jeon</name></author><author><name sortKey="Zhang, Yu" sort="Zhang, Yu" uniqKey="Zhang Y" first="Yu" last="Zhang">Yu Zhang</name></author><author><name sortKey="Qin, Xiaofeng" sort="Qin, Xiaofeng" uniqKey="Qin X" first="Xiaofeng" last="Qin">Xiaofeng Qin</name></author><author><name sortKey="Ma, Wenqi" sort="Ma, Wenqi" uniqKey="Ma W" first="Wenqi" last="Ma">Wenqi Ma</name></author><author><name sortKey="Lee, Yuan Shin" sort="Lee, Yuan Shin" uniqKey="Lee Y" first="Yuan-Shin" last="Lee">Yuan-Shin Lee</name></author></analytic><series><title level="j">Assistive technology : the official journal of RESNA</title><idno type="ISSN">1040-0435</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Computer Simulation</term><term>Humans</term><term>Motor Skills (physiology)</term><term>Teaching</term><term>Touch</term><term>User-Computer Interface</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Motor Skills</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Computer Simulation</term><term>Humans</term><term>Teaching</term><term>Touch</term><term>User-Computer Interface</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study investigated the design of a virtual reality (VR) simulation integrating a haptic control interface for motor skill training. Twenty-four healthy participants were tested and trained in standardized psychomotor control tasks using native and VR forms with their nondominant hands in order to identify VR design features that might serve to accelerate motor learning. The study was also intended to make preliminary observations on the degree of specific motor skill development that can be achieved with a VR-based haptic simulation. Results revealed significant improvements in test performance following training for the VR with augmented haptic features with insignificant findings for the native task and VR with basic haptic features. Although performance during training was consistently better with the native task, a correspondence between the VR training and test task interfaces led to greater improvement in test performance as reported by a difference between baseline and post-test scores. These findings support use of VR-based haptic simulations of standardized psychomotor tests for motor skill training, including visual and haptic enhancements for effective pattern recognition and discrete movement of objects. The results may serve as an applicable guide for design of future haptic VR features.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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