Sep, 2009
Joint visual attention modeling for naturally interacting robotic agents
2009 24th International Symposium on Computer and Information Sciences
- ,
- ,
- ,
- 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