Papers

Peer-reviewed Lead author Corresponding author
Sep, 2009

Joint visual attention modeling for naturally interacting robotic agents

2009 24th International Symposium on Computer and Information Sciences
  • Z. Yucel
  • ,
  • A.A. Salah
  • ,
  • C. Mericli
  • ,
  • T. Mericli

First page
242
Last page
247
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1109/iscis.2009.5291820
Publisher
IEEE

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.

Link information
DOI
https://doi.org/10.1109/iscis.2009.5291820
DBLP
https://dblp.uni-trier.de/rec/conf/iscis/YucelSMM09
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000275024200043&DestApp=WOS_CPL
URL
http://xplorestaging.ieee.org/ielx5/5287478/5291799/05291820.pdf?arnumber=5291820
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=73949139808&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=73949139808&origin=inward
ID information
  • DOI : 10.1109/iscis.2009.5291820
  • ISBN : 9781424450237
  • DBLP ID : conf/iscis/YucelSMM09
  • SCOPUS ID : 73949139808
  • Web of Science ID : WOS:000275024200043

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