Affect-aware behaviour modelling and control inside an intelligent environment

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dc.contributor.authorLeon, Enrique
dc.contributor.authorClarke, Graham
dc.contributor.authorCallaghan, Victor
dc.contributor.authorDoctor, Faiyaz
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T12:01:47Z
dc.date.available2024-07-24T12:01:47Z
dc.date.issued2010-10
dc.description.abstractThe evidence suggests that human actions are supported by emotional elements that complement logic inference in our decision-making processes. In this paper an exploratory study is presented providing initial evidence of the positive effects of emotional information on the ability of intelligent agents to create better models of user actions inside smart-homes. Preliminary results suggest that an agent incorporating valence-based emotional data into its input array can model user behaviour in a more accurate way than agents using no emotion-based data or raw data based on physiological changes.en
dc.description.sponsorshipWe are indebted to Robin Dowling and Malcolm Lear for their invaluable support in the implementation of the XVEST. We also express our gratitude to Dr. Francisco Sepulveda for his contribution to our work and also to the IIEG staff at the University of Essex for their support during experimentation inside the iSpace. This work has been funded by the EU IST Disappearing Computer funding program which has provided support for the iSpace, and the Mexican National Council for Science and Technology (CONACYT).
dc.description.statusPeer reviewed
dc.format.extent16
dc.identifier.citationLeon , E , Clarke , G , Callaghan , V & Doctor , F 2010 , ' Affect-aware behaviour modelling and control inside an intelligent environment ' , Pervasive and Mobile Computing , vol. 6 , no. 5 , pp. 559-574 . https://doi.org/10.1016/j.pmcj.2009.12.002
dc.identifier.doi10.1016/j.pmcj.2009.12.002
dc.identifier.issn1574-1192
dc.identifier.urihttps://hdl.handle.net/11556/3182
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77957275707&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofPervasive and Mobile Computing
dc.relation.projectIDEU IST
dc.relation.projectIDMexican National Council for Science and Technology
dc.relation.projectIDConsejo Nacional de Ciencia y TecnologĂ­a, CONACYT
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAmbient intelligence
dc.subject.keywordsArtificial neural networks
dc.subject.keywordsEmotion detection
dc.subject.keywordsFuzzy controllers
dc.subject.keywordsSoftware
dc.subject.keywordsInformation Systems
dc.subject.keywordsHardware and Architecture
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsComputer Networks and Communications
dc.titleAffect-aware behaviour modelling and control inside an intelligent environmenten
dc.typejournal article
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