Djamel Merad, Stephanie Metz, Serge Miguet



Our work focuses on the interdisciplinary field of detailed analysis of behaviors exhibited by individuals during sessions of distributed collaboration. With a particular focus on ergonomics, we propose new mechanisms to be integrated into existing tools to enable increased productivity in distributed learning and working. Our technique is to record ocular movements (eye tracking) to analyze various scenarios of distributed collaboration in the context of computer-based training. In this article, we present a low-cost oculometric device that is capable of making ocular measurements without interfering with the natural behavior of the subject. We expect that this device could be employed anywhere that a natural, non-intrusive method of observation is required, and its low-cost permits it to be readily integrated into existing popular tools, particularly E-learning campus.


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Paper Citation

in Harvard Style

Merad D., Metz S. and Miguet S. (2006). EYE AND GAZE TRACKING ALGORITHM FOR COLLABORATIVE LEARNING SYSTEM . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 326-333. DOI: 10.5220/0001207503260333

in Bibtex Style

author={Djamel Merad and Stephanie Metz and Serge Miguet},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},

in EndNote Style

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
SN - 978-972-8865-60-3
AU - Merad D.
AU - Metz S.
AU - Miguet S.
PY - 2006
SP - 326
EP - 333
DO - 10.5220/0001207503260333