dc.contributor.author | Chang, Huang-Ming |
dc.contributor.author | Ivonin, Leonid |
dc.contributor.author | Díaz Boladeras, Marta |
dc.contributor.author | Català Mallofré, Andreu |
dc.contributor.author | Chen, Wei |
dc.contributor.author | Rauterberg, Mattias |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2014-01-11T17:31:35Z |
dc.date.available | 2014-01-11T17:31:35Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Chang, 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.uri | http://hdl.handle.net/2117/21221 |
dc.description.abstract | In 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.extent | 5 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject.lcsh | Emotions |
dc.subject.lcsh | Physiology |
dc.subject.other | Emotion |
dc.subject.other | affective stimuli |
dc.subject.other | self-reports |
dc.subject.other | physiological signals |
dc.subject.other | archetype |
dc.title | What do we feel about archetypes: self-reports and physiological signals |
dc.type | Conference lecture |
dc.subject.lemac | Afectivitat |
dc.subject.lemac | Emocions -- Aspectes psicològics |
dc.subject.lemac | Fisiologia |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.relation.publisherversion | http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569742621.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 12761128 |
dc.description.version | Postprint (published version) |
local.citation.author | Chang, H.; Ivonin, L.; Diaz, M.; Catala, A.; Chen, W.; Rauterberg, M. |
local.citation.contributor | European Signal Processing Conference |
local.citation.pubplace | Marrakesh |
local.citation.publicationName | Proceedings 21st European Signal Processing Conference |
local.citation.startingPage | 1 |
local.citation.endingPage | 5 |