Joint visual attention modeling for naturally interacting robotic agents
24th International Symposium on Computer and Information Sciences, ISCIS 2009
242 - 247
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This 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.
Visual attention modeling
Published Version (Please cite this version)http://dx.doi.org/10.1109/ISCIS.2009.5291820
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