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Ocular metrics for detecting attentional tunneling

Abstract : This paper focuses on ocular measurement to detect the human operator's particular state of "attentional tunneling" during a robot supervisory task. After a survey of the existing ocular metrics, an innovative fixation detection algorithm is proposed. Then the metrics derived from the ocular parameters calculated by the algorithm are tested in a human-robot experiment and the results are discussed.
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Submitted on : Wednesday, September 3, 2014 - 5:39:13 PM
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  • HAL Id : hal-01060533, version 1



N. Regis, F. Dehais, C. Tessier, J.F. Gagnon. Ocular metrics for detecting attentional tunneling. Human Factors and Ergonomics Society Europe Chapter annual meeting, Oct 2012, TOULOUSE, France. ⟨hal-01060533⟩



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