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dc.contributor.authorCavedon, L.
dc.contributor.authorKroos, Christian
dc.contributor.authorHerath, D.
dc.contributor.authorBurnham, D.
dc.contributor.authorBishop, L.
dc.contributor.authorLeung, Y.
dc.contributor.authorStevens, C.
dc.identifier.citationCavedon, L. and Kroos, C. and Herath, D. and Burnham, D. and Bishop, L. and Leung, Y. and Stevens, C. 2015. “C'Mon dude!": Users adapt their behaviour to a robotic agent with an attention model. International Journal of Human-Computer Studies. 80: pp. 14-23.

Social cues facilitate engagement between interaction participants, whether they be two (or more) humans or a human and an artificial agent such as a robot. Previous work specific to human–agent/robot interaction has demonstrated the efficacy of implemented social behaviours, such as eye-gaze or facial gestures, for demonstrating the illusion of engagement and positively impacting interaction with a human. We describe the implementation of THAMBS, The Thinking Head Attention Model and Behavioural System, which is used to model attention controlling how a virtual agent reacts to external audio and visual stimuli within the context of an interaction with a human user. We evaluate the efficacy of THAMBS for a virtual agent mounted on a robotic platform in a controlled experimental setting, and collect both task- and behavioural-performance variables, along with self-reported ratings of engagement. Our results show that human subjects noticeably engaged more often, and in more interesting ways, with the robotic agent when THAMBS was activated, indicating that even a rudimentary display of attention by the robot elicits significantly increased attention by the human. Back-channelling had less of an effect on user behaviour. THAMBS and back-channelling did not interact and neither had an effect on self-report ratings. Our results concerning THAMBS hold implications for the design of successful human–robot interactive behaviours.

dc.subjectSocial interaction
dc.subjectHuman–robot interaction
dc.subjectAttention model
dc.title“C'Mon dude!”: Users adapt their behaviour to a robotic agent with an attention model
dc.typeJournal Article
dcterms.source.titleInternational Journal of Human-Computer Studies
curtin.departmentSchool of Design and Art
curtin.accessStatusFulltext not available

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