Joint Visual Attention Modeling for Naturally Interacting Robotic Agents Z. Yucel, A. A. Salah, C. Mericli, T. mericli In International Symposium on Computer and Information Sciences 2009. [bibtex] [pdf] [url]

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.

@InProceedings{YucelISCIS2009,
  author       = "Yucel, Z. and Salah, A. A. and Mericli, C. and mericli, T.",
  title        = "Joint Visual Attention Modeling for Naturally Interacting Robotic Agents",
  booktitle    = "International Symposium on Computer and Information Sciences",
  year         = "2009",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2009/YucelISCIS2009",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2009/YucelISCIS2009/YucelISCIS2009.pdf",
  has_image    = 1
}