Joint visual attention modeling for naturally interacting robotic agents
Author
Yücel, Zeynep
Salah, A. A.
Meriçli, C.
Meriçli, T.
Date
2009-09Source Title
24th International Symposium on Computer and Information Sciences, ISCIS 2009
Publisher
IEEE
Pages
242 - 247
Language
English
Type
Conference PaperItem Usage Stats
129
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133
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Abstract
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.
Keywords
Cognitive developmentCognitive skill
Fixation mechanisms
Joint attention
Natural interfaces
Practical implementation
Robotic agents
Robotic design
Visual attention modeling
Information science
Machine design
Robots
Robotics
Permalink
http://hdl.handle.net/11693/28626Published Version (Please cite this version)
http://dx.doi.org/10.1109/ISCIS.2009.5291820Collections
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