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dc.contributor.authorWalters, M.L.
dc.contributor.authorDautenhahn, K.
dc.contributor.authorTe Boekhorst, R.
dc.contributor.authorKoay, K.L.
dc.contributor.authorSyrdal, D.S.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2013-01-15T17:59:09Z
dc.date.available2013-01-15T17:59:09Z
dc.date.issued2009
dc.identifier.citationWalters , M L , Dautenhahn , K , Te Boekhorst , R , Koay , K L , Syrdal , D S & Nehaniv , C L 2009 , An empirical framework for human-robot proxemics . in Procs of New Frontiers in Human-Robot Interaction : symposium at the AISB09 convention . pp. 144-149 .
dc.identifier.otherdspace: 2299/3794
dc.identifier.otherORCID: /0000-0002-0047-1377/work/32375043
dc.identifier.urihttp://hdl.handle.net/2299/9670
dc.descriptionThe work described in this paper was conducted within the EU Integrated Projects COGNIRON ("The Cognitive Robot Companion") and LIREC (LIving with Robots and intEractive Companions) and was funded by the European Commission under contract numbers FP6- 002020 and FP7-215554.
dc.description.abstractAn empirical framework for Human-Robot (HR) proxemics is proposed which shows how the measurement and control of interpersonal distances between a human and a robot can be potentially used by the robot to interpret, predict and manipulate proxemic behaviour for Human-Robot Interactions (HRIs). The proxemic framework provides for incorporation of inter-factor effects, and can be extended to incorporate new factors, updated values and results. The framework is critically discussed and future work proposed.en
dc.format.extent766723
dc.language.isoeng
dc.relation.ispartofProcs of New Frontiers in Human-Robot Interaction
dc.titleAn empirical framework for human-robot proxemicsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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