A part-task approach to haptic knee arthroscopy training.
Identifieur interne : 006D52 ( Main/Curation ); précédent : 006D51; suivant : 006D53A part-task approach to haptic knee arthroscopy training.
Auteurs : Louise Moody [Royaume-Uni] ; John Arthur ; Aleksandar Zivanovic ; Alan WaterworthSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2003.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Joint Diseases.
- methods : Education, Medical.
- surgery : Knee Joint.
- Arthroscopes, Computer Simulation, Humans, User-Computer Interface.
Abstract
This paper describes the research behind a part-task approach to both the development of, and the training offered, by a virtual reality simulator for knee arthroscopy. An ethnographic approach has been taken to examine the nature of task performance and the current training of the arthroscopic diagnosis of the knee. This Human Factors research is used to support the development of WISHKATS. The design addresses the challenge of technically producing haptic feedback for a knee surgery simulator whilst offering sufficient fidelity to train the necessary skills and conform to traditional surgical training.
PubMed: 15455896
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pubmed:15455896Le document en format XML
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<author><name sortKey="Moody, Louise" sort="Moody, Louise" uniqKey="Moody L" first="Louise" last="Moody">Louise Moody</name>
<affiliation wicri:level="1"><nlm:affiliation>RISCU, Department of Statistics, University of Warwick, Coventry CV4 7AL, UK. L.Moody@warwick.ac.uk</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>RISCU, Department of Statistics, University of Warwick, Coventry CV4 7AL</wicri:regionArea>
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<author><name sortKey="Arthur, John" sort="Arthur, John" uniqKey="Arthur J" first="John" last="Arthur">John Arthur</name>
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<author><name sortKey="Zivanovic, Aleksandar" sort="Zivanovic, Aleksandar" uniqKey="Zivanovic A" first="Aleksandar" last="Zivanovic">Aleksandar Zivanovic</name>
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<author><name sortKey="Waterworth, Alan" sort="Waterworth, Alan" uniqKey="Waterworth A" first="Alan" last="Waterworth">Alan Waterworth</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">A part-task approach to haptic knee arthroscopy training.</title>
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<affiliation wicri:level="1"><nlm:affiliation>RISCU, Department of Statistics, University of Warwick, Coventry CV4 7AL, UK. L.Moody@warwick.ac.uk</nlm:affiliation>
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<author><name sortKey="Arthur, John" sort="Arthur, John" uniqKey="Arthur J" first="John" last="Arthur">John Arthur</name>
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<author><name sortKey="Zivanovic, Aleksandar" sort="Zivanovic, Aleksandar" uniqKey="Zivanovic A" first="Aleksandar" last="Zivanovic">Aleksandar Zivanovic</name>
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<series><title level="j">Studies in health technology and informatics</title>
<idno type="ISSN">0926-9630</idno>
<imprint><date when="2003" type="published">2003</date>
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<term>Joint Diseases (diagnosis)</term>
<term>Knee Joint (surgery)</term>
<term>User-Computer Interface</term>
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<keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Knee Joint</term>
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<front><div type="abstract" xml:lang="en">This paper describes the research behind a part-task approach to both the development of, and the training offered, by a virtual reality simulator for knee arthroscopy. An ethnographic approach has been taken to examine the nature of task performance and the current training of the arthroscopic diagnosis of the knee. This Human Factors research is used to support the development of WISHKATS. The design addresses the challenge of technically producing haptic feedback for a knee surgery simulator whilst offering sufficient fidelity to train the necessary skills and conform to traditional surgical training.</div>
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