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      • Department of Electrical and Electronics Engineering
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      Joint visual attention modeling for naturally interacting robotic agents

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      Author(s)
      Yücel, Zeynep
      Salah, A. A.
      Meriçli, C.
      Meriçli, T.
      Date
      2009-09
      Source Title
      24th International Symposium on Computer and Information Sciences, ISCIS 2009
      Publisher
      IEEE
      Pages
      242 - 247
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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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 development
      Cognitive 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/11693/28626
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISCIS.2009.5291820
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      • Department of Electrical and Electronics Engineering 3702
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