Towards modeling embodied conversational agent character profiles using appraisal theory predictions in expression synthesis

Malatesta, L; Raouzaiou, A; Karpouzis, K; Kollias, S

dc.contributor.author	Malatesta, L	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:32:13Z
dc.date.available	2014-03-01T01:32:13Z
dc.date.issued	2009	en
dc.identifier.issn	0924-669X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20082
dc.subject	Cognitive Appraisal	en
dc.subject	Embodied Conversational Agent	en
dc.subject	Facial Animation	en
dc.subject	Facial Expression	en
dc.subject	Process Model	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	Agents	en
dc.subject.other	Animation	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Forecasting	en
dc.subject.other	Gesture recognition	en
dc.subject.other	Motion Picture Experts Group standards	en
dc.subject.other	Real time systems	en
dc.subject.other	Theorem proving	en
dc.subject.other	Appraisal theories	en
dc.subject.other	Behavioral patterns	en
dc.subject.other	Cognitive appraisals	en
dc.subject.other	Component process models	en
dc.subject.other	Embodied conversational agents	en
dc.subject.other	Emotion elicitations	en
dc.subject.other	Expression syntheses	en
dc.subject.other	Facial Animation Parameters	en
dc.subject.other	Facial expressions	en
dc.subject.other	Muscle deformations	en
dc.subject.other	Synthesis processes	en
dc.subject.other	Temporal evolutions	en
dc.subject.other	Synthesis (chemical)	en
dc.title	Towards modeling embodied conversational agent character profiles using appraisal theory predictions in expression synthesis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10489-007-0076-9	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10489-007-0076-9	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Appraisal theories in psychology study facial expressions in order to deduct information regarding the underlying emotion elicitation processes. Scherer's component process model provides predictions regarding particular face muscle deformations that are attributed as reactions to the cognitive appraisal stimuli in the study of emotion episodes. In the current work, MPEG-4 facial animation parameters are used in order to evaluate these theoretical predictions for intermediate and final expressions of a given emotion episode. We manipulate parameters such as intensity and temporal evolution of synthesized facial expressions. In emotion episodes originating from identical stimuli, by varying the cognitive appraisals of the stimuli and mapping them to different expression intensities and timings, various behavioral patterns can be generated and thus different agent character profiles can be defined. The results of the synthesis process are consequently applied to Embodied Conversational Agents (ECAs), aiming to render their interaction with humans, or other ECAs, more affective. © 2007 Springer Science+Business Media, LLC.	en
heal.publisher	SPRINGER	en
heal.journalName	Applied Intelligence	en
dc.identifier.doi	10.1007/s10489-007-0076-9	en
dc.identifier.isi	ISI:000261831100006	en
dc.identifier.volume	30	en
dc.identifier.issue	1	en
dc.identifier.spage	58	en
dc.identifier.epage	64	en