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hal.structure.identifierCentre de recherche Université Laval Robert Giffard [CRULRG]
dc.contributor.authorJACKSON, Philip L.
hal.structure.identifierCentre de recherche Université Laval Robert Giffard [CRULRG]
dc.contributor.authorMICHON, Pierre-Emmanuel
hal.structure.identifierLaboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
dc.contributor.authorGESLIN, Erik
hal.structure.identifierCentre de recherche Université Laval Robert Giffard [CRULRG]
dc.contributor.authorCARIGNAN, Maxime
hal.structure.identifierCentre de recherche Université Laval Robert Giffard [CRULRG]
dc.contributor.authorBEAUDOIN, Danny
dc.date.accessioned2021-05-14T09:54:26Z
dc.date.available2021-05-14T09:54:26Z
dc.date.issued2015-03-10
dc.identifier.issn1662-5161
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77608
dc.description.abstractEnEmpathy is a multifaceted emotional and mental faculty that is often found to be affected in a great number of psychopathologies, such as schizophrenia, yet it remains very difficult to measure in an ecological context. The challenge stems partly from the complexity and fluidity of this social process, but also from its covert nature. One powerful tool to enhance experimental control over such dynamic social interactions has been the use of avatars in virtual reality (VR); information about an individual in such an interaction can be collected through the analysis of his or her neurophysiological and behavioral responses. We have developed a unique platform, the Empathy-Enhancing Virtual Evolving Environment (EEVEE), which is built around three main components: (1) different avatars capable of expressing feelings and emotions at various levels based on the Facial Action Coding System (FACS); (2) systems for measuring the physiological responses of the observer (heart and respiration rate, skin conductance, gaze and eye movements, facial expression); and (3) a multimodal interface linking the avatar's behavior to the observer's neurophysiological response. In this article, we provide a detailed description of the components of this innovative platform and validation data from the first phases of development. Our data show that healthy adults can discriminate different negative emotions, including pain, expressed by avatars at varying intensities. We also provide evidence that masking part of an avatar's face (top or bottom half) does not prevent the detection of different levels of pain. This innovative and flexible platform provides a unique tool to study and even modulate empathy in a comprehensive and ecological manner in various populations, notably individuals suffering from neurological or psychiatric disorders.
dc.language.isoen
dc.publisherFrontiers
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/
dc.subject.enavatar
dc.subject.enFACS
dc.subject.enpain
dc.subject.enempathy
dc.subject.enaffective computing
dc.subject.envirtual reality
dc.subject.enemotions
dc.title.enEEVEE : the Empathy-Enhancing Virtual Evolving Environment
dc.typeArticle de revue
dc.identifier.doi10.3389/fnhum.2015.00112
dc.subject.halInformatique [cs]/Multimédia [cs.MM]
dc.subject.halSciences de l'Homme et Société/Sciences de l'information et de la communication
bordeaux.journalFrontiers in Human Neuroscience
bordeaux.page112
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01276440
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01276440v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Human%20Neuroscience&rft.date=2015-03-10&rft.spage=112&rft.epage=112&rft.eissn=1662-5161&rft.issn=1662-5161&rft.au=JACKSON,%20Philip%20L.&MICHON,%20Pierre-Emmanuel&GESLIN,%20Erik&CARIGNAN,%20Maxime&BEAUDOIN,%20Danny&rft.genre=article


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