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dc.contributor.authorSarrafzadeh, Hossein
dc.contributor.authorAlexander, Samuel T.V.
dc.contributor.authorHill, S
dc.date.accessioned2013-08-23T02:49:45Z
dc.date.available2013-08-23T02:49:45Z
dc.date.issued2008
dc.identifier.urihttps://hdl.handle.net/10652/2292
dc.description.abstractThe developing field of Affective Tutoring Systems (ATSs) has created a need to understand how such tutoring systems should adapt to the emotional state of students. To this end, an observational study of human tutors was conducted to learn how human tutors adapt to the affective state of students. This knowledge can then be used to implement the tutoring strategies of an ATS and is hence a critical foundation in its development. This paper presents the methodology and results of this observational study of human tutors and looks ahead to the future development of an animated pedagogical agent capable of detecting, expressing and adapting to emotion.en_NZ
dc.language.isoenen_NZ
dc.subjectAffective Tutoring Systems emotional state studentsen_NZ
dc.titleFoundation of an Affective Tutoring System: Learning How Human Tutors Adapt to Student Emotionen_NZ
dc.typeJournal Articleen_NZ
dc.rights.holderInternational Journal of Intelligent Systems Technologies and Applicationsen_NZ
dc.subject.marsden080602 Computer-Human Interactionen_NZ
dc.identifier.bibliographicCitationAlexander, S., Sarrafzadeh, A., and Hill, S. (2008). Foundation of an Affective Tutoring System: Learning How Human Tutors Adapt to Student Emotion. International Journal of Intelligent Systems Technologies and Applications. 4 (4) : 355-367.en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.titleInternational Journal of Intelligent Systems Technologies and Applicationsen_NZ
unitec.peerreviewedyesen_NZ
unitec.identifier.roms50201


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