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dc.contributor.authorLewis, Matthew
dc.contributor.authorCañamero, Lola
dc.date.accessioned2014-06-24T11:30:37Z
dc.date.available2014-06-24T11:30:37Z
dc.date.issued2013
dc.identifier.citationLewis , M & Cañamero , L 2013 , Are Discrete Emotions Useful in Human-Robot Interaction? Feedback from Motion Capture Analysis . in Affective Computing and Intelligent Interaction (ACII) 2013 . IEEE COMPUTER SOC , pp. 97-102 . https://doi.org/10.1109/ACII.2013.23
dc.identifier.isbn978-0-7695-5048-0
dc.identifier.otherPURE: 2282463
dc.identifier.otherPURE UUID: 64a7b136-ed50-4cc0-ba53-65e141530b32
dc.identifier.otherScopus: 84893298268
dc.identifier.urihttp://hdl.handle.net/2299/13794
dc.description.abstractWe have conducted a study analyzing motion capture data of bodily expressions of human emotions towards the goal of building a social expressive robot that interacts with and supports hospitalized children. Although modeling emotional expression (and recognition) in (by) robots in terms of discrete categories presents advantages such as ease and clarity of interpretation, our results show that this approach also poses a number of problems. The main issues relate to the loss of subtle expressions and feelings, individual features, context, and social interaction elements that are present in real life.en
dc.format.extent6
dc.language.isoeng
dc.publisherIEEE COMPUTER SOC
dc.relation.ispartofAffective Computing and Intelligent Interaction (ACII) 2013
dc.titleAre Discrete Emotions Useful in Human-Robot Interaction? : Feedback from Motion Capture Analysisen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2013
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1109/ACII.2013.23
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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