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dc.contributor.authorBroz, F.
dc.contributor.authorLehmann, H.
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2014-10-01T08:45:54Z
dc.date.available2014-10-01T08:45:54Z
dc.date.issued2012-09
dc.identifier.citationBroz , F , Lehmann , H , Nehaniv , C L & Dautenhahn , K 2012 , Mutual gaze, personality, and familiarity : Dual eye-tracking during conversation . in Procs - IEEE Int Workshop on Robot and Human Interactive Communication : RO-MAN 2012 . Institute of Electrical and Electronics Engineers (IEEE) , pp. 858-864 , 21st IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2012) , Paris , France , 9/09/12 . https://doi.org/10.1109/ROMAN.2012.6343859
dc.identifier.citationconference
dc.identifier.isbn978-1-4673-4604-7
dc.identifier.isbn978-1-4673-4605-4
dc.identifier.otherPURE: 2093520
dc.identifier.otherPURE UUID: 8782d24f-5722-450c-9014-87fd08e5e2ab
dc.identifier.otherScopus: 84870799156
dc.identifier.urihttp://hdl.handle.net/2299/14516
dc.description.abstractMutual gaze is an important aspect of face-to-face communication that arises from the interaction of the gaze behavior of two individuals. In this dual eye-tracking study, gaze data was collected from human conversational pairs with the goal of gaining insight into what characteristics of the conversation partners influence this behavior. We investigate the link between personality, familiarity and mutual gaze. The results found indicate that mutual gaze behavior depends on the characteristics of both partners rather than on either individual considered in isolation. We discuss the implications of these findings for the design of socially appropriate gaze controllers for robots that interact with people.en
dc.format.extent7
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs - IEEE Int Workshop on Robot and Human Interactive Communication
dc.titleMutual gaze, personality, and familiarity : Dual eye-tracking during conversationen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
rioxxterms.versionofrecordhttps://doi.org/10.1109/ROMAN.2012.6343859
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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