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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