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dc.contributor.authorMoore, Philip R.
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorBarolli, Leonard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-05-29T09:41:50Z
dc.date.available2017-05-29T09:41:50Z
dc.date.issued2014
dc.identifier.citationMoore, P., Xhafa, F., Barolli, L. Semantic valence modeling: emotion recognition and affective states in context-aware systems. A: IEEE International Conference on Advanced Information Networking and Applications Workshops. "28th International Conference on Advanced Information Networking and Applications workshops (WAINA), 2014: 13-16 May 2014, University of Victoria, Victoria, Canada: proceedings". Victoria: 2014, p. 536-541.
dc.identifier.isbn978-1-4799-2654-1
dc.identifier.urihttp://hdl.handle.net/2117/104977
dc.description(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractDefining and describing a context requires knowledge (contextual information), while research is addressing a wider range of potential contextual information in a diverse range of domains the diversity of potential contextual information has not been effectively addressed. This paper considers the implementation of context and identifies emotion (more accurately emotional response) as a factor in the personalization of services as under-represented in the literature. We propose semantic valence modeling implemented in fuzzy rule-based systems as a potential solution to the implementation of emotional responses in context-aware systems. It is concluded that the effective implementation of emotional responses based on the posited approach will improve the accuracy of personalized service provision and additionally offers the potential to improve the levels of computational intelligence in context-aware domains and systems.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subject.lcshComputational intelligence
dc.subject.lcshEmotions
dc.subject.otheraffective states
dc.subject.othercomputational intelligence
dc.subject.othercontext
dc.subject.otheremotional response
dc.subject.othervalence modeling
dc.titleSemantic valence modeling: emotion recognition and affective states in context-aware systems
dc.typeConference report
dc.subject.lemacIntel·ligència computacional
dc.subject.lemacEmocions
dc.identifier.doi10.1109/WAINA.2014.88
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6844692
dc.rights.accessOpen Access
drac.iddocument17838928
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorMoore, P.; Xhafa, F.; Barolli, L.
upcommons.citation.contributorIEEE International Conference on Advanced Information Networking and Applications Workshops
upcommons.citation.pubplaceVictoria
upcommons.citation.publishedtrue
upcommons.citation.publicationName28th International Conference on Advanced Information Networking and Applications workshops (WAINA), 2014: 13-16 May 2014, University of Victoria, Victoria, Canada: proceedings
upcommons.citation.startingPage536
upcommons.citation.endingPage541


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