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dc.contributor.authorAlexander, Samuel T.V.
dc.contributor.authorSarrafzadeh, Hossein
dc.description.abstractWhenever people talk to each other, non-verbal behaviour plays a very important role in regulating their interaction. However, almost all human-computer interactions take place using a keyboard or mouse – computers are completely oblivious to the non-verbal behaviour of their users. This paper outlines the plan for an interface that aims to adapt like a human to the non-verbal behaviour of users. An Intelligent Tutoring System (ITS) for counting and addition is being implemented in conjunction with the New Zealand Numeracy Project. The system’s interface will detect the student’s non-verbal behaviour using in-house image processing software, enabling it to adapt to the student’s non-verbal behaviour in similar ways to a human tutor. We have conducted a video study of how human tutors interpret the non-verbal behaviour of students, which has laid the foundation for this research.en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectaffective computingen_NZ
dc.subjecthuman computer interactionen_NZ
dc.titleInterfaces that adapt like humansen_NZ
dc.title.alternativeComputer Human Interaction (2004)en_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.subject.marsden080199 Artificial Intelligence and Image Processing not elsewhere classifieden_NZ
dc.subject.marsden120304 Digital and Interaction Designen_NZ
dc.identifier.bibliographicCitationAlexander, S., & Sarrafzadeh, A. (2004, January). Interfaces that adapt like humans. In Computer Human Interaction (pp. 641-645). Springer Berlin Heidelberg.en_NZ
unitec.institutionUnitec INstitute of Technologyen_NZ
unitec.publication.volumeVolume 3101en_NZ
unitec.publication.titleLecture Notes in Computer Scienceen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ

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