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1.
PLoS One ; 12(10): e0185909, 2017.
Article in English | MEDLINE | ID: mdl-29016693

ABSTRACT

To investigate the links between mental workload, age and risky driving, a cross-sectional study was conducted on a driving simulator using several established and some novel measures of driving ability and scenarios of varying complexity. A sample of 115 drivers was divided into three age and experience groups: young inexperienced (18-21 years old), adult experienced (25-55 years old) and older adult (70-86 years old). Participants were tested on three different scenarios varying in mental workload from low to high. Additionally, to gain a better understanding of individuals' ability to capture and integrate relevant information in a highly complex visual environment, the participants' perceptual-cognitive capacity was evaluated using 3-dimensional multiple object tracking (3D-MOT). Results indicate moderate scenario complexity as the best suited to highlight well-documented differences in driving ability between age groups and to elicit naturalistic driving behavior. Furthermore, several of the novel driving measures were shown to provide useful, non-redundant information about driving behavior, complementing more established measures. Finally, 3D-MOT was demonstrated to be an effective predictor of elevated crash risk as well as decreased naturally-adopted mean driving speed, particularly among older adults. In sum, the present experiment demonstrates that in cases of either extreme high or low task demands, drivers can become overloaded or under aroused and thus task measures may lose sensitivity. Moreover, insights from the present study should inform methodological considerations for future driving simulator research. Importantly, future research should continue to investigate the predictive utility of perceptual-cognitive tests in the domain of driving risk assessment.


Subject(s)
Automobile Driving/psychology , Cognition/physiology , Risk-Taking , Workload/psychology , Adolescent , Adult , Aged , Aged, 80 and over , Female , High Fidelity Simulation Training , Humans , Male , Middle Aged , Pattern Recognition, Visual/physiology , Risk Assessment , Space Perception/physiology , Task Performance and Analysis
2.
Traffic Inj Prev ; 7(2): 130-42, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16854707

ABSTRACT

PROBLEM: In many jurisdictions, driver education (DE) graduates, compared to non-graduates, are granted a time-discount that allows them to drive unsupervised several months earlier, despite little evidence of a safety benefit and consistent evidence of increased crash risk. Confounding factors may be threatening the validity of DE evaluations. A theoretical framework called the "licensing process" (LP) is proposed to identify and explore potential confounding factors in DE evaluations. METHOD: Prospective study data on a cohort of 1804 novice drivers 16 to 19 years of age of both sexes are analyzed in relation to the LP framework. These data derive from two sources that were linked together: an extensive questionnaire on learning methods, risk-taking, and lifestyles, and government records on exam performance, violations, and crashes. RESULTS: Violation and crash records are not associated with DE attendance. DE attendance is associated with younger ages, greater financial support from family, and fewer hours of supervised driving practice with a learner's permit. For both sexes, more hours of supervised driving practice with a learner's permit is associated with increased crash risk. Most participants, particularly males under 19 years of age, attended DE partly or entirely to save time or money; these motivations are associated with higher violation and crash rates. DISCUSSION: DE evaluations need to identify and control for potential confounding factors. Research is needed to understand the associations between increased crash risk and potential confounding factors like motivation to attend DE and hours of supervised driving practice.


Subject(s)
Accidents, Traffic , Automobile Driver Examination , Automobile Driving/education , Licensure/legislation & jurisprudence , Accidents, Traffic/prevention & control , Adolescent , Adult , Age Factors , Cohort Studies , Female , Humans , Learning , Life Style , Logistic Models , Male , Prospective Studies , Quebec , Risk-Taking , Sex Factors , Surveys and Questionnaires , Time Factors
3.
J Safety Res ; 34(3): 289-98, 2003.
Article in English | MEDLINE | ID: mdl-12963075

ABSTRACT

PROBLEM: Road traffic injury is the leading cause of death among adolescents in high-income countries. Researchers attribute this threat to driver risk taking, which driver education (DE) attempts to reduce. Many North American authorities grant DE graduates earlier access to unsupervised driving despite no evidence of this being a safety benefit. This theoretical article examines risk taking and DE in relation to an apparent mobility bias (MB) in policymaking. METHOD: The MB is defined, the history and sources of driver risk taking are examined, and the failure of DE to reduce collision risk is analyzed in relation to a potential MB in licensing policies. DISCUSSION: The author argues that DE's failure to reduce adolescent collision risk is associated with a MB that has produced insufficient research into DE programs and that influences public policymakers to grant earlier licensure to DE graduates. Recommendations are made regarding future research on DE and risk taking, coordinated improvements to DE and driver licensing, and a plan to reduce collision risk by encouraging parental supervision after adolescent licensure. IMPACT ON INDUSTRY: Research on adolescent driver risk taking would have direct applications in DE curricula development, driver's license evaluation criteria, graduated licensing (GDL) policies, as well as other aspects of human factor research into the crash-risk problem.


Subject(s)
Accidents, Traffic/prevention & control , Adolescent Behavior/psychology , Automobile Driving/education , Public Policy , Risk-Taking , Accidents, Traffic/psychology , Accidents, Traffic/statistics & numerical data , Adolescent , Automobile Driving/psychology , Canada , Humans , Policy Making , Research , Safety
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