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dc.contributor.authorSyrdal, D.S.
dc.contributor.authorLehmann, Hagen
dc.contributor.authorRobins, Ben
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2014-12-10T10:17:25Z
dc.date.available2014-12-10T10:17:25Z
dc.date.issued2014-04
dc.identifier.citationSyrdal , D S , Lehmann , H , Robins , B & Dautenhahn , K 2014 , KASPAR in the wild - Initial findings from a pilot study . in AISB 2014 - 50th Annual Convention of the AISB . Society for the Study of Artificial Intelligence and the Simulation of Behaviour , 50th Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour , AISB 2014 , London , United Kingdom , 1/04/14 .
dc.identifier.citationconference
dc.identifier.otherPURE: 7806621
dc.identifier.otherPURE UUID: f39b3864-d7b7-41e6-9db5-7092db543ba2
dc.identifier.otherScopus: 84907401153
dc.identifier.urihttp://hdl.handle.net/2299/14899
dc.description.abstractThis extended abstract describes the initial pilot work when evaluating the use of the UH Humanoid Robot KASPAR in a specialist nursery for children with social and communication disorders. Staff and volunteers at the nursery were trained in the use of KASPAR and are currently using KASPAR in their day to day activities in the nursery. This paper focuses on the design and results from the initial interviews with the participants. Results high-light the challenges of transferring experimental technologies like KASPAR from a research setting into everyday practice.en
dc.language.isoeng
dc.publisherSociety for the Study of Artificial Intelligence and the Simulation of Behaviour
dc.relation.ispartofAISB 2014 - 50th Annual Convention of the AISB
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.subjectArtificial Intelligence
dc.subjectModelling and Simulation
dc.titleKASPAR in the wild - Initial findings from a pilot studyen
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
dc.identifier.urlhttp://doc.gold.ac.uk/aisb50/#s19
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Accepted Version
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


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