Joint visual attention modeling for naturally interacting robotic agents

Zeynep Yucel, 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 - 2009
Externally publishedYes
Event2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 - Guzelyurt, Cyprus
Duration: Sep 14 2009Sep 16 2009

Other

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

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ASJC Scopus subject areas

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

Cite this

Yucel, 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] https://doi.org/10.1109/ISCIS.2009.5291820