Understanding How Adolescents with Autism Respond to Facial Expressions in Virtual Reality Environments
Identifieur interne : 000F19 ( Pmc/Checkpoint ); précédent : 000F18; suivant : 000F20Understanding How Adolescents with Autism Respond to Facial Expressions in Virtual Reality Environments
Auteurs : Esubalew Bekele ; Zhi Zheng ; Amy Swanson ; Julie Crittendon ; Zachary Warren ; Nilanjan SarkarSource :
- IEEE transactions on visualization and computer graphics [ 1077-2626 ] ; 2013.
Abstract
Autism Spectrum Disorders (ASD) are characterized by atypical patterns of behaviors and impairments in social communication. Among the fundamental social impairments in the ASD population are challenges in appropriately recognizing and responding to facial expressions. Traditional intervention approaches often require intensive support and well-trained therapists to address core deficits, with many with ASD having tremendous difficulty accessing such care due to lack of available trained therapists as well as intervention costs. As a result, emerging technology such as virtual reality (VR) has the potential to offer useful technology-enabled intervention systems. In this paper, an innovative VR-based facial emotional expression presentation system was developed that allows monitoring of eye gaze and physiological signals related to emotion identification to explore new efficient therapeutic paradigms. A usability study of this new system involving ten adolescents with ASD and ten typically developing adolescents as a control group was performed. The eye tracking and physiological data were analyzed to determine intragroup and intergroup variations of gaze and physiological patterns. Performance data, eye tracking indices and physiological features indicated that there were differences in the way adolescents with ASD process and recognize emotional faces compared to their typically developing peers. These results will be used in the future for an online adaptive VR-based multimodal social interaction system to improve emotion recognition abilities of individuals with ASD.
Url:
DOI: 10.1109/TVCG.2013.42
PubMed: 23428456
PubMed Central: 3867269
Affiliations:
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<front><div type="abstract" xml:lang="en"><p id="P1">Autism Spectrum Disorders (ASD) are characterized by atypical patterns of behaviors and impairments in social communication. Among the fundamental social impairments in the ASD population are challenges in appropriately recognizing and responding to facial expressions. Traditional intervention approaches often require intensive support and well-trained therapists to address core deficits, with many with ASD having tremendous difficulty accessing such care due to lack of available trained therapists as well as intervention costs. As a result, emerging technology such as virtual reality (VR) has the potential to offer useful technology-enabled intervention systems. In this paper, an innovative VR-based facial emotional expression presentation system was developed that allows monitoring of eye gaze and physiological signals related to emotion identification to explore new efficient therapeutic paradigms. A usability study of this new system involving ten adolescents with ASD and ten typically developing adolescents as a control group was performed. The eye tracking and physiological data were analyzed to determine intragroup and intergroup variations of gaze and physiological patterns. Performance data, eye tracking indices and physiological features indicated that there were differences in the way adolescents with ASD process and recognize emotional faces compared to their typically developing peers. These results will be used in the future for an online adaptive VR-based multimodal social interaction system to improve emotion recognition abilities of individuals with ASD.</p>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9891704</journal-id>
<journal-id journal-id-type="pubmed-jr-id">31980</journal-id>
<journal-id journal-id-type="nlm-ta">IEEE Trans Vis Comput Graph</journal-id>
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<title-group><article-title>Understanding How Adolescents with Autism Respond to Facial Expressions in Virtual Reality Environments</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Bekele</surname>
<given-names>Esubalew</given-names>
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<role>Student Member, IEEE</role>
<aff id="A1">EECS Department, Vanderbilt University</aff>
<email>esubalew.bekele@vanderbilt.edu</email>
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<contrib contrib-type="author"><name><surname>Zheng</surname>
<given-names>Zhi</given-names>
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<aff id="A2">Electrical Engineering and Computer Science Department, Vanderbilt University</aff>
<email>zhi.zheng@vanderbilt.edu</email>
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<contrib contrib-type="author"><name><surname>Swanson</surname>
<given-names>Amy</given-names>
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<aff id="A3">Treatment and Research in Autism Disorders (TRIAD), Vanderbilt University</aff>
<email>amy.r.swanson @vanderbilt.edu.</email>
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<contrib contrib-type="author"><name><surname>Crittendon</surname>
<given-names>Julie</given-names>
</name>
<aff id="A4">Department of Pediatrics and Psychiatry, Vanderbilt University</aff>
<email>julie.a.crittendon@vanderbilt.edu</email>
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<contrib contrib-type="author"><name><surname>Warren</surname>
<given-names>Zachary</given-names>
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<aff id="A5">Department of Pediatrics and Psychiatry, Vanderbilt University</aff>
<email>zachary.e.warren@vanderbilt.edu</email>
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<contrib contrib-type="author"><name><surname>Sarkar</surname>
<given-names>Nilanjan</given-names>
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<role>Senior Member, IEEE</role>
<aff id="A6">Mechanical Engineering Department, Vanderbilt University</aff>
<email>nilanjan.sarkar@vanderbilt.edu</email>
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<volume>19</volume>
<issue>4</issue>
<elocation-id>10.1109/TVCG.2013.42</elocation-id>
<permissions><copyright-statement>© 2013 IEEE</copyright-statement>
<copyright-year>2013</copyright-year>
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<abstract><p id="P1">Autism Spectrum Disorders (ASD) are characterized by atypical patterns of behaviors and impairments in social communication. Among the fundamental social impairments in the ASD population are challenges in appropriately recognizing and responding to facial expressions. Traditional intervention approaches often require intensive support and well-trained therapists to address core deficits, with many with ASD having tremendous difficulty accessing such care due to lack of available trained therapists as well as intervention costs. As a result, emerging technology such as virtual reality (VR) has the potential to offer useful technology-enabled intervention systems. In this paper, an innovative VR-based facial emotional expression presentation system was developed that allows monitoring of eye gaze and physiological signals related to emotion identification to explore new efficient therapeutic paradigms. A usability study of this new system involving ten adolescents with ASD and ten typically developing adolescents as a control group was performed. The eye tracking and physiological data were analyzed to determine intragroup and intergroup variations of gaze and physiological patterns. Performance data, eye tracking indices and physiological features indicated that there were differences in the way adolescents with ASD process and recognize emotional faces compared to their typically developing peers. These results will be used in the future for an online adaptive VR-based multimodal social interaction system to improve emotion recognition abilities of individuals with ASD.</p>
</abstract>
<kwd-group><title>Index Terms</title>
<kwd>3D Interaction</kwd>
<kwd>multimodal interaction</kwd>
<kwd>psychology</kwd>
<kwd>usability</kwd>
<kwd>vr-based response systems</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Institute of Mental Health : NIMH</funding-source>
<award-id>R01 MH091102 || MH</award-id>
</award-group>
</funding-group>
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<name sortKey="Sarkar, Nilanjan" sort="Sarkar, Nilanjan" uniqKey="Sarkar N" first="Nilanjan" last="Sarkar">Nilanjan Sarkar</name>
<name sortKey="Swanson, Amy" sort="Swanson, Amy" uniqKey="Swanson A" first="Amy" last="Swanson">Amy Swanson</name>
<name sortKey="Warren, Zachary" sort="Warren, Zachary" uniqKey="Warren Z" first="Zachary" last="Warren">Zachary Warren</name>
<name sortKey="Zheng, Zhi" sort="Zheng, Zhi" uniqKey="Zheng Z" first="Zhi" last="Zheng">Zhi Zheng</name>
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