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dc.contributor.authorYücel, Zeynepen_US
dc.contributor.authorSalah, A. A.en_US
dc.contributor.authorMeriçli, C.en_US
dc.contributor.authorMeriçli, T.en_US
dc.coverage.spatialGüzelyurt, Cyprus
dc.date.accessioned2016-02-08T12:25:28Z
dc.date.available2016-02-08T12:25:28Z
dc.date.issued2009-09en_US
dc.identifier.urihttp://hdl.handle.net/11693/28626
dc.descriptionDate of Conference: 14-16 Sept. 2009
dc.descriptionConference name: 24th International Symposium on Computer and Information Sciences, 2009
dc.description.abstractThis paper elaborates on mechanisms for establishing visual joint attention for the design of robotic agents that learn through natural interfaces, following a developmental trajectory not unlike infants. We describe first the evolution of cognitive skills in infants and then the adaptation of cognitive development patterns in robotic design. A comprehensive outlook for cognitively inspired robotic design schemes pertaining to joint attention is presented for the last decade, with particular emphasis on practical implementation issues. A novel cognitively inspired joint attention fixation mechanism is defined for robotic agents. © 2009 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title24th International Symposium on Computer and Information Sciences, ISCIS 2009en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2009.5291820en_US
dc.subjectCognitive developmenten_US
dc.subjectCognitive skillen_US
dc.subjectFixation mechanismsen_US
dc.subjectJoint attentionen_US
dc.subjectNatural interfacesen_US
dc.subjectPractical implementationen_US
dc.subjectRobotic agentsen_US
dc.subjectRobotic designen_US
dc.subjectVisual attention modelingen_US
dc.subjectInformation scienceen_US
dc.subjectMachine designen_US
dc.subjectRobotsen_US
dc.subjectRoboticsen_US
dc.titleJoint visual attention modeling for naturally interacting robotic agentsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage242en_US
dc.citation.epage247en_US
dc.identifier.doi10.1109/ISCIS.2009.5291820en_US
dc.publisherIEEE


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