Predicting Motor Vehicle Collisions in a Driving Simulator in Young Adults Using the Useful Field of View Assessment
Autor: | Molly K. Cox, Benjamin McManus, Despina Stavrinos, David E. Vance |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Adult
Male Engineering medicine.medical_specialty Automobile Driving Adolescent Population Poison control Audiology Risk Assessment Article Young Adult Injury prevention Task Performance and Analysis medicine Humans Attention Computer Simulation education Simulation education.field_of_study business.industry Public Health Environmental and Occupational Health Driving simulator Accidents Traffic Human factors and ergonomics Cognition Useful field of view Ceiling effect Female Visual Fields business Safety Research |
Popis: | Being involved in motor vehicle collisions is the leading cause of death in 1- to 34-year-olds, and risk is particularly high in young adults. The Useful Field of View (UFOV) task, a cognitive measure of processing speed, divided attention, and selective attention, has been shown to be predictive of motor vehicle collisions in older adults, but its use as a predictor of driving performance in a young adult population has not been investigated. The present study examined whether UFOV was a predictive measure of motor vehicle collisions in a driving simulator in a young adult population.The 3-subtest version of UFOV (lower scores measured in milliseconds indicate better performance) was administered to 60 college students. Participants also completed an 11-mile simulated drive to provide driving performance metrics.Findings suggested that subtests 1 and 2 suffered from a ceiling effect. UFOV subtest 3 significantly predicted collisions in the simulated drive. Each 30 ms slower on the subtest was associated with nearly a 10% increase in the risk of a simulated collision. Post hoc analyses revealed a small partially mediating effect of subtest 3 on the relationship between driving experience and collisions.The selective attention component of UFOV subtest 3 may be a predictive measure of crash involvement in a young adult population. Improvements in selective attention may be the underlying mechanism in how driving experience improves driving performance. |
Databáze: | OpenAIRE |
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