Abstract
Cognitive distraction has been identified as a critical factor for automobile crashes in the United States. Previous research indicates that cognitive tasks such as phone conversations may take attention away from the driving task, degrading driving performance. One continuing issue with cognitive distraction research is establishing a reliable, continuous, online measure of driver workload. Blink rate is a potential candidate for such a measure. The present driving simulator experiment examines whether blink rate is sensitive to variations of driver workload while controlling the vehicle. Participants will navigate simulated environments while performing the auditory 0-and 2-back task with their blink and driving performance data continuously recorded during the drive. Blink and performance data will be compared not only between the different workload conditions, but also to predictions of a human driver performance workload model based on the Improved Performance Research Integration Tool (IMPRINT), developed by the US Army Research Laboratory.
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