Joint visual attention modeling for naturally interacting robotic agents

Zeynep Yücel, Albert Ali Salah, Çetin Meriçli, Tekin Meriçli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
Pages242-247
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
Externally publishedYes
Event2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 - Guzelyurt, Cyprus
Duration: Sep 14 2009Sep 16 2009

Publication series

Name2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009

Other

Other2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
CountryCyprus
CityGuzelyurt
Period9/14/099/16/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Yücel, Z., Salah, A. A., Meriçli, Ç., & Meriçli, T. (2009). Joint visual attention modeling for naturally interacting robotic agents. In 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 (pp. 242-247). [5291820] (2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009). https://doi.org/10.1109/ISCIS.2009.5291820