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Toward Adaptive VR Simulators Combining Visual, Haptic, and Brain-Computer Interfaces

Identifieur interne : 000537 ( Hal/Corpus ); précédent : 000536; suivant : 000538

Toward Adaptive VR Simulators Combining Visual, Haptic, and Brain-Computer Interfaces

Auteurs : Anatole Lécuyer ; Laurent George ; Maud Marchal

Source :

RBID : Hal:hal-00934846

Abstract

The next generation of VR simulators could take into account a novel input: the user's mental state, as measured with electrodes and a brain-computer interface. One illustration of this promising path is a project that adapted a guidance system's force feedback to the user's mental workload in real time. A first application of this approach is a medical training simulator that provides virtual assistance that adapts to the trainee's mental activity. Such results pave the way to VR systems that will automatically reconfigure and adapt to their users' mental states and cognitive processes.

Url:
DOI: 10.1109/MCG.2013.80

Links to Exploration step

Hal:hal-00934846

Le document en format XML

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<div type="abstract" xml:lang="en">The next generation of VR simulators could take into account a novel input: the user's mental state, as measured with electrodes and a brain-computer interface. One illustration of this promising path is a project that adapted a guidance system's force feedback to the user's mental workload in real time. A first application of this approach is a medical training simulator that provides virtual assistance that adapts to the trainee's mental activity. Such results pave the way to VR systems that will automatically reconfigure and adapt to their users' mental states and cognitive processes.</div>
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<title xml:lang="en">Toward Adaptive VR Simulators Combining Visual, Haptic, and Brain-Computer Interfaces</title>
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<persName>
<forename type="first">Anatole</forename>
<surname>Lécuyer</surname>
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<email>anatole.lecuyer@inria.fr</email>
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<forename type="first">Laurent</forename>
<surname>George</surname>
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<email>laurent.f.george@inria.fr</email>
<idno type="halAuthorId">652744</idno>
<affiliation ref="#struct-155295"></affiliation>
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<author role="aut">
<persName>
<forename type="first">Maud</forename>
<surname>Marchal</surname>
</persName>
<email>Maud.Marchal@inria.fr</email>
<ptr type="url" target="http://people.rennes.inria.fr/Maud.Marchal/"></ptr>
<idno type="idHal">maud-marchal</idno>
<idno type="halAuthorId">850406</idno>
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<idno type="halJournalId" status="VALID">5334</idno>
<idno type="issn">0272-1716</idno>
<title level="j">IEEE Computer Graphics and Applications</title>
<imprint>
<publisher>Institute of Electrical and Electronics Engineers</publisher>
<biblScope unit="volume">33</biblScope>
<biblScope unit="issue">5</biblScope>
<biblScope unit="pp">18-23</biblScope>
<date type="datePub">2013-09-01</date>
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<idno type="doi">10.1109/MCG.2013.80</idno>
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<abstract xml:lang="en">The next generation of VR simulators could take into account a novel input: the user's mental state, as measured with electrodes and a brain-computer interface. One illustration of this promising path is a project that adapted a guidance system's force feedback to the user's mental workload in real time. A first application of this approach is a medical training simulator that provides virtual assistance that adapts to the trainee's mental activity. Such results pave the way to VR systems that will automatically reconfigure and adapt to their users' mental states and cognitive processes.</abstract>
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