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dc.contributor.authorLewis, Matthew
dc.contributor.authorCañamero, Lola
dc.date.accessioned2019-10-15T00:02:08Z
dc.date.available2019-10-15T00:02:08Z
dc.date.issued2018-02-01
dc.identifier.citationLewis , M & Cañamero , L 2018 , Robot Models of Mental Disorders . in 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) . IEEE , pp. 193-200 , 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) , San Antonio , United States , 23/10/17 . https://doi.org/10.1109/ACIIW.2017.8272613
dc.identifier.citationconference
dc.identifier.isbn9783540748885
dc.identifier.isbn9783540748892
dc.identifier.otherPURE: 12612945
dc.identifier.otherPURE UUID: b8426d19-cf76-4170-8f14-4fd09ce310fa
dc.identifier.otherRIS: urn:2E40852A15E5E880748807268B84D490
dc.identifier.otherScopus: 85047266139
dc.identifier.urihttp://hdl.handle.net/2299/21735
dc.description.abstractAlongside technological tools to support wellbeing and treatment of mental disorders, models of these disorders can also be invaluable tools to understand, support and improve these conditions. Robots can provide ecologically valid models that take into account embodiment-, interaction-, and context-related elements. Focusing on Obsessive-Compulsive spectrum disorders, in this paper we discuss some of the potential contributions of robot models and relate them to other models used in psychology and psychiatry, particularly animal models. We also present some initial recommendations for their meaningful design and rigorous use.en
dc.format.extent8
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
dc.titleRobot Models of Mental Disordersen
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/ACIIW.2017.8272613
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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