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dc.contributor.authorChang, Huang-Ming
dc.contributor.authorIvonin, Leonid
dc.contributor.authorDíaz Boladeras, Marta
dc.contributor.authorCatalà Mallofré, Andreu
dc.contributor.authorChen, Wei
dc.contributor.authorRauterberg, Mattias
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2014-01-11T17:31:35Z
dc.date.available2014-01-11T17:31:35Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationChang, H. [et al.]. What do we feel about archetypes: self-reports and physiological signals. A: European Signal Processing Conference. "Proceedings 21st European Signal Processing Conference". Marrakesh: 2013, p. 1-5.
dc.identifier.urihttp://hdl.handle.net/2117/21221
dc.description.abstractIn research on emotion, presenting affective stimuli has been believed to be an effective and reliable technique for emotion elicitation. Instead of collecting stimuli for predefined emotions, we propose to develop stimuli based on their symbolic meanings. We adopted archetypal symbolism as a standard to edit eight movie clips of archetypes as a new set of affective stimuli. These stimuli were used in an experiment for emotion elicitation. Participants’ emotional responses toward these stimuli of archetypes were measured by the self-report technique and the physiological measurement. The results of linear discriminant analysis show that physiological measurement is more robust than the self-report techniques in recognizing emotions toward stimuli of archetypes. However, it is still unclear which technique reflects the ground truth of human emotion. We discuss alternative implications of these results, and provide more research questions for future studies on emotion recognition and model development.
dc.format.extent5 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut
dc.subject.lcshEmotions
dc.subject.lcshPhysiology
dc.subject.otherEmotion
dc.subject.otheraffective stimuli
dc.subject.otherself-reports
dc.subject.otherphysiological signals
dc.subject.otherarchetype
dc.titleWhat do we feel about archetypes: self-reports and physiological signals
dc.typeConference lecture
dc.subject.lemacAfectivitat
dc.subject.lemacEmocions -- Aspectes psicològics
dc.subject.lemacFisiologia
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.relation.publisherversionhttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569742621.pdf
dc.rights.accessOpen Access
local.identifier.drac12761128
dc.description.versionPostprint (published version)
local.citation.authorChang, H.; Ivonin, L.; Diaz, M.; Catala, A.; Chen, W.; Rauterberg, M.
local.citation.contributorEuropean Signal Processing Conference
local.citation.pubplaceMarrakesh
local.citation.publicationNameProceedings 21st European Signal Processing Conference
local.citation.startingPage1
local.citation.endingPage5


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