HapticV1, Main, Merge, bibRecord, 001803

The effect of haptic degrees of freedom on task performance in virtual surgical environments.

Identifieur interne : 001803 ( Main/Merge ); précédent : 001802; suivant : 001804

The effect of haptic degrees of freedom on task performance in virtual surgical environments.

Auteurs : Jonas Forsslund [États-Unis] ; Sonny Chan ; Joshua Selesnick ; Kenneth Salisbury ; Rebeka G. Silva ; Nikolas H. Blevins

Source :

Studies in health technology and informatics [ 0926-9630 ] ; 2013.

RBID : pubmed:23400144

English descriptors

KwdEn :
- Biofeedback, Psychology (methods), Biofeedback, Psychology (physiology), Female, Humans, Male, Movement (physiology), Physical Stimulation (methods), Psychomotor Performance (physiology), Surgery, Computer-Assisted (methods), Touch (physiology), User-Computer Interface, Young Adult.
MESH :
- methods : Biofeedback, Psychology, Physical Stimulation, Surgery, Computer-Assisted.
- physiology : Biofeedback, Psychology, Movement, Psychomotor Performance, Touch.
- Female, Humans, Male, User-Computer Interface, Young Adult.

Abstract

Force and touch feedback, or haptics, can play a significant role in the realism of virtual reality surgical simulation. While it is accepted that simulators providing haptic feedback often outperform those that do not, little is known about the degree of haptic fidelity required to achieve simulation objectives. This article evaluates the effect that employing haptic rendering with different degrees of freedom (DOF) has on task performance in a virtual environment. Results show that 6-DOF haptic rendering significantly improves task performance over 3-DOF haptic rendering, even if computed torques are not displayed to the user. No significant difference could be observed between under-actuated (force only) and fully-actuated 6-DOF feedback in two surgically-motivated tasks.

PubMed: 23400144

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to stream PubMed, to step Corpus: 000A18
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to stream PubMed, to step Checkpoint: 000779
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pubmed:23400144

Le document en format XML

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<author><name sortKey="Forsslund, Jonas" sort="Forsslund, Jonas" uniqKey="Forsslund J" first="Jonas" last="Forsslund">Jonas Forsslund</name>
<affiliation wicri:level="2"><nlm:affiliation>Computer Science Department, Stanford University, Stanford, CA, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Computer Science Department, Stanford University, Stanford, CA</wicri:regionArea>
<placeName><region type="state">Californie</region>
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<author><name sortKey="Chan, Sonny" sort="Chan, Sonny" uniqKey="Chan S" first="Sonny" last="Chan">Sonny Chan</name>
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<author><name sortKey="Selesnick, Joshua" sort="Selesnick, Joshua" uniqKey="Selesnick J" first="Joshua" last="Selesnick">Joshua Selesnick</name>
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<author><name sortKey="Salisbury, Kenneth" sort="Salisbury, Kenneth" uniqKey="Salisbury K" first="Kenneth" last="Salisbury">Kenneth Salisbury</name>
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<author><name sortKey="Silva, Rebeka G" sort="Silva, Rebeka G" uniqKey="Silva R" first="Rebeka G" last="Silva">Rebeka G. Silva</name>
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<author><name sortKey="Blevins, Nikolas H" sort="Blevins, Nikolas H" uniqKey="Blevins N" first="Nikolas H" last="Blevins">Nikolas H. Blevins</name>
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<author><name sortKey="Chan, Sonny" sort="Chan, Sonny" uniqKey="Chan S" first="Sonny" last="Chan">Sonny Chan</name>
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<author><name sortKey="Selesnick, Joshua" sort="Selesnick, Joshua" uniqKey="Selesnick J" first="Joshua" last="Selesnick">Joshua Selesnick</name>
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<author><name sortKey="Salisbury, Kenneth" sort="Salisbury, Kenneth" uniqKey="Salisbury K" first="Kenneth" last="Salisbury">Kenneth Salisbury</name>
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<author><name sortKey="Silva, Rebeka G" sort="Silva, Rebeka G" uniqKey="Silva R" first="Rebeka G" last="Silva">Rebeka G. Silva</name>
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<series><title level="j">Studies in health technology and informatics</title>
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<term>Humans</term>
<term>Male</term>
<term>Movement (physiology)</term>
<term>Physical Stimulation (methods)</term>
<term>Psychomotor Performance (physiology)</term>
<term>Surgery, Computer-Assisted (methods)</term>
<term>Touch (physiology)</term>
<term>User-Computer Interface</term>
<term>Young Adult</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Biofeedback, Psychology</term>
<term>Physical Stimulation</term>
<term>Surgery, Computer-Assisted</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Biofeedback, Psychology</term>
<term>Movement</term>
<term>Psychomotor Performance</term>
<term>Touch</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>User-Computer Interface</term>
<term>Young Adult</term>
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<front><div type="abstract" xml:lang="en">Force and touch feedback, or haptics, can play a significant role in the realism of virtual reality surgical simulation. While it is accepted that simulators providing haptic feedback often outperform those that do not, little is known about the degree of haptic fidelity required to achieve simulation objectives. This article evaluates the effect that employing haptic rendering with different degrees of freedom (DOF) has on task performance in a virtual environment. Results show that 6-DOF haptic rendering significantly improves task performance over 3-DOF haptic rendering, even if computed torques are not displayed to the user. No significant difference could be observed between under-actuated (force only) and fully-actuated 6-DOF feedback in two surgically-motivated tasks.</div>
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The effect of haptic degrees of freedom on task performance in virtual surgical environments.

The effect of haptic degrees of freedom on task performance in virtual surgical environments.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki