A car driver�s cognitive distraction is amain factor behind car accidents. One�s state of mind is subconsciously exposed as a reaction\r\nreflecting it by external stimuli. A visual event that occurs in front of the driver when a peripheral vehicle overtakes the driver�s\r\nvehicle is regarded as the external stimulus. We focus on temporal relationships between the driver�s eye gaze and the peripheral\r\nvehicle behavior. The analysis result showed that the temporal relationships depend on the driver�s state. In particular we confirmed\r\nthat the timing of the gaze toward the stimulus under the distracted state induced by amusic retrieval task using an automatic speech\r\nrecognition system is later than that under a neutral state while only driving without the secondary cognitive task.This temporal\r\nfeature can contribute to detecting the cognitive distraction automatically. A detector based on a Bayesian framework using this\r\nfeature achieves better accuracy than one based on the percentage road center method.
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