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dc.contributor.authorKoutsombogera, Mariaen
dc.contributor.authorVogel, Carlen
dc.date.accessioned2018-10-26T09:58:30Z
dc.date.available2018-10-26T09:58:30Z
dc.date.created22-24 August 2018en
dc.date.issued2018en
dc.date.submitted2018en
dc.identifier.citationMaria Koutsombogera, Rachel Costello, Carl Vogel, Quantifying dominance in the Multisimo corpus, 9th IEEE Conference on Cognitive Infocommunications, Budapest, Hungary, 22-24 August 2018, 2018, 6en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/85236
dc.descriptionPUBLISHEDen
dc.descriptionBest Paper Awarden
dc.descriptionBudapest, Hungaryen
dc.description.abstractThis paper is concerned with investigating conversational (verbal and non verbal) features related to conversational dominance and discovering evident relations between these features, personality traits and perceived dominance scores. Ordinal regression models were applied to find associations between dominance scores, both as a predicted value and as a predictor, and personality traits and verbal features. Results report the association of high dominance scores to the large number of words a speaker utters per minute, as well as to high extraversion and high openness traits. Low dominance scores have been associated with high agreeableness.en
dc.description.sponsorshipEuropean Union’s H2020 grant agreement No 701621 (MULTISIMO) Science Foundation Ireland (SFI) Grant 12/CE/I2267 and 13/RC/2106en
dc.format.extent6en
dc.language.isoenen
dc.rightsYen
dc.subjectdialog, dominance, personality traitsen
dc.titleQuantifying dominance in the Multisimo corpusen
dc.title.alternative9th IEEE Conference on Cognitive Infocommunicationsen
dc.typeConference Paperen
dc.contributor.sponsorEuropean Commissionen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/koutsommen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/vogelen
dc.identifier.rssinternalid192846en
dc.relation.ecprojectidinfo:eu-repo/grantAgreement/EC/FP7/701621
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumber701621en
dc.subject.TCDTagData Analysisen
dc.status.accessibleNen


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