Using visual attention to evaluate collaborative control architectures for human robot interaction

Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009

Volumn , Issue , 2009, Pages 38-43

  Carlson, Tom ^a   Demiris, Yiannis ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE TASK; COLLABORATIVE CONTROL; COLLABORATIVE SYSTEMS; EYE-GAZE; EYE-TRACKING; HUMAN USERS; INITIAL HYPOTHESIS; MENTAL MODEL; ROBOTIC WHEELCHAIRS; VISUAL ATTENTION;

ARTIFICIAL INTELLIGENCE;

ACTIVATION ANALYSIS;

EID: 84859096520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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3. Tom Carlson and Yiannis Demiris, 'Human-wheelchair collaboration through prediction of intention and adaptive assistance', in Proc. of IEEE International Conference on Robotics and Automation, pp. 3926-3931, Pasadena, CA, (2008).
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9. Y. Matsumoto, T. Ino, and T. Ogasawara, 'Development of intelligent wheelchair system with face and gaze based interface', in Proc. of 10th IEEE Int. Workshop on Robot and Human Communication (ROMAN 2001), pp. 262-267, (2001). (Pubitemid 34207564)
10. P. Nisbet, 'Who's intelligent? Wheelchair, driver or both?', in Proc. IEEE Intl. Conference on Control Applications, Glasgow, Scotland, U.K., (September 2002).
11. Kaveh Yousefi, Multimodal human-computer interaction : eye tracking, Master's thesis, Department of Computing, Imperial College London, 2007.
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