<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T01:38:41Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/21050" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/21050</identifier><datestamp>2021-06-23T11:20:30Z</datestamp><setSpec>com_10324_1168</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1302</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Marcos Pablos, Samuel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>González Pablos, Emilio</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Martín Lorenzo, Carlos</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Flores, Luis Alberto</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Gómez García-Bermejo, Jaime</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Zalama Casanova, Eduardo</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2016-11-22T14:27:48Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2016-11-22T14:27:48Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2016</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Samuel Marcos-Pablos, Emilio González-Pablos, Carlos Martín-Lorenzo, Luis A. Flores, Jaime Gómez-García-Bermejo, Eduardo Zalama. Virtual Avatar for Emotion Recognition in Patients with Schizophrenia: A Pilot Study. Frontiers in Human Neuroscience. 2016, vol. 10. p. 1-12</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/21050</mods:identifier>
<mods:identifier type="doi">10.3389/fnhum.2016.00421</mods:identifier>
<mods:identifier type="publicationfirstpage">1</mods:identifier>
<mods:identifier type="publicationissue">10</mods:identifier>
<mods:identifier type="publicationlastpage">12</mods:identifier>
<mods:identifier type="publicationtitle">Frontiers in Human Neuroscience</mods:identifier>
<mods:identifier type="publicationvolume">10</mods:identifier>
<mods:abstract>Persons who suffer from schizophrenia have difficulties in recognizing emotions in others’&#xd;
facial expressions, which affects their capabilities for social interaction and hinders their&#xd;
social integration. Photographic images have traditionally been used to explore emotion&#xd;
recognition impairments in schizophrenia patients, but they lack of the dynamism that&#xd;
is inherent to facial expressiveness. In order to overcome those inconveniences, over&#xd;
the last years different authors have proposed the use of virtual avatars. In this work,&#xd;
we present the results of a pilot study that explored the possibilities of using a realisticlooking&#xd;
avatar for the assessment of emotion recognition deficits in patients who suffer&#xd;
from schizophrenia. In the study, 20 subjects with schizophrenia of long evolution and&#xd;
20 control subjects were invited to recognize a set of facial expressions of emotions&#xd;
showed by both the said virtual avatar and static images. Our results show that&#xd;
schizophrenic patients exhibit recognition deficits in emotion recognition from facial&#xd;
expressions regardless the type of stimuli (avatar or images), and that those deficits&#xd;
are related with the psychopathology. Finally, some improvements in recognition rates&#xd;
(RRs) for the patient group when using the avatar were observed for sadness or surprise&#xd;
expressions, and they even outperform the control group in the recognition of the&#xd;
happiness expression. This leads to conclude that, apart from the dynamism of the&#xd;
shown expression, the RRs for schizophrenia patients when employing animated avatars&#xd;
may depend on other factors which need to be further explored.</mods:abstract>
<mods:language>
<mods:languageTerm>spa</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
<mods:subject>
<mods:topic>Robots</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Realidad virtual</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Virtual Avatar for Emotion Recognition in Patients with Schizophrenia: A Pilot Study</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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