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EYE AND GAZE TRACKING ALGORITHM FOR COLLABORATIVE LEARNING SYSTEM

Abstract : 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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https://halshs.archives-ouvertes.fr/halshs-00360961
Contributor : Stéphanie Mailles-Viard Metz <>
Submitted on : Thursday, February 12, 2009 - 5:33:08 PM
Last modification on : Tuesday, May 12, 2020 - 3:56:09 PM
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  • HAL Id : halshs-00360961, version 1

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Djamel Merad, Stéphanie Mailles-Viard Metz, Serge Miguet. EYE AND GAZE TRACKING ALGORITHM FOR COLLABORATIVE LEARNING SYSTEM. ICINCO-RA 2006, Aug 2006, Sétubal, Portugal. pp.326-333. ⟨halshs-00360961⟩

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