title: The useful field of view assessment predicts simulated commercial motor vehicle driving safety.
abstract: The Useful Field of View (UFOV) assessment, a measure of visual speed of processing, has been shown to be a predictive measure of motor vehicle collision (MVC) involvement in an older adult population, but it remains unknown whether UFOV predicts commercial motor vehicle (CMV) driving safety during secondary task engagement. The purpose of this study is to determine whether the UFOV assessment predicts simulated MVCs in long-haul CMV drivers.
  
  
  
  Fifty licensed CMV drivers (Mage = 39.80, SD = 8.38, 98% male, 56% Caucasian) were administered the 3-subtest version of the UFOV assessment, where lower scores measured in milliseconds indicated better performance. CMV drivers completed 4 simulated drives, each spanning approximately a 22.50-mile distance. Four secondary tasks were presented to participants in a counterbalanced order during the drives: (a) no secondary task, (b) cell phone conversation, (c) text messaging interaction, and (d) e-mailing interaction with an on-board dispatch device.
  
  
  
  The selective attention subtest significantly predicted simulated MVCs regardless of secondary task. Each 20 ms slower on subtest 3 was associated with a 25% increase in the risk of an MVC in the simulated drive. The e-mail interaction secondary task significantly predicted simulated MVCs with a 4.14 times greater risk of an MVC compared to the no secondary task condition. Subtest 3, a measure of visual speed of processing, significantly predicted MVCs in the email interaction task. Each 20 ms slower on subtest 3 was associated with a 25% increase in the risk of an MVC during the email interaction task.
  
  
  
  The UFOV subtest 3 may be a promising measure to identify CMV drivers who may be at risk for MVCs or in need of cognitive training aimed at improving speed of processing. Subtest 3 may also identify CMV drivers who are particularly at risk when engaged in secondary tasks while driving.
authors.affiliation: a Department of Psychology , University of Alabama at Birmingham , Birmingham , Alabama.
authors.forename: Benjamin
authors.initials: B
authors.lastname: McManus
authors.affiliation: b School of Nursing , University of Alabama at Birmingham , Birmingham , Alabama.
authors.forename: Karen
authors.initials: K
authors.lastname: Heaton
authors.affiliation: b School of Nursing , University of Alabama at Birmingham , Birmingham , Alabama.
authors.forename: David E
authors.initials: DE
authors.lastname: Vance
authors.affiliation: c Department of Psychology , University of Alabama at Birmingham , Birmingham , Alabama.
authors.forename: Despina
authors.initials: D
authors.lastname: Stavrinos
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D001334:Automobile Driving / Q000523:psychology*; D003132:Commerce; D003142:Communication; D003198:Computer Simulation; D034742:Electronic Mail; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment / Q000379:methods; D012449:Safety; D060145:Text Messaging; D014794:Visual Fields
keywords: Useful Field of View; crash risk; driving simulator, commercial motor vehicles; selective attention