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PREDICTING SIMULATED DRIVING PERFORMANCE UNDER HIGH AND LOW WORKLOAD ENVIRONMENTS USING COGNITIVE, VISUAL, AND PSYCHOMOTOR TASKS
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PREDICTING SIMULATED DRIVING PERFORMANCE UNDER HIGH AND LOW WORKLOAD ENVIRONMENTS USING COGNITIVE, VISUAL, AND PSYCHOMOTOR TASKS

Sharmili Shanmugaratnam
University of West Florida
Master of Arts (MA), University of West Florida
2008

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Abstract

Although many improvements to road and vehicle safety have been made in the United States over the past 2 decades, accident numbers have remained stable since 1980 (U.S. Census Bureau, 2003). Given that there are many serious motor vehicle accidents occurring each year, understanding the underlying causes of these accidents may help improve driver safety. The purpose of this study was to investigate the role cognitive, visual, and psychomotor domains play in predicting driving performance. The participants were 55 drivers (mean age of 31 years, SD = 19.08) recruited from the University of West Florida. Participants performed 9 tasks that measured their abilities in the 3 domains and performed simulated driving under high workload (i.e., city) and low workload (i.e., highway) conditions. Results indicated that measures of visual acuity, tracking task, and age were predictive of performance at simulated city intersections and highway driver watchfulness-related behaviors. These results may aid in the development of a cost-effective and time-efficient method to assess driver fitness (e.g., license renewal).
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