Joint visual attention modeling for naturally interacting robotic agents

dc.citation.epage247
dc.citation.spage242
dc.contributor.authorYücel, Zeynep
dc.contributor.authorSalah, A. A.
dc.contributor.authorMeriçli, C.
dc.contributor.authorMeriçli, T.
dc.coverage.spatialGüzelyurt, Cyprus
dc.date.accessioned2016-02-08T12:25:28Z
dc.date.available2016-02-08T12:25:28Z
dc.date.issued2009-09
dc.departmentDepartment of Electrical and Electronics Engineering
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.
dc.identifier.doi10.1109/ISCIS.2009.5291820
dc.identifier.urihttp://hdl.handle.net/11693/28626
dc.language.isoEnglish
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2009.5291820
dc.source.title24th International Symposium on Computer and Information Sciences, ISCIS 2009
dc.subjectCognitive development
dc.subjectCognitive skill
dc.subjectFixation mechanisms
dc.subjectJoint attention
dc.subjectNatural interfaces
dc.subjectPractical implementation
dc.subjectRobotic agents
dc.subjectRobotic design
dc.subjectVisual attention modeling
dc.subjectInformation science
dc.subjectMachine design
dc.subjectRobots
dc.subjectRobotics
dc.titleJoint visual attention modeling for naturally interacting robotic agents
dc.typeConference Paper

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