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1.
J Safety Res ; 54: 75-8, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26403905

ABSTRACT

PROBLEM: Distracted driving is a significant concern for novice teen drivers. Although cellular phone bans are applied in many jurisdictions to restrict cellular phone use, teen drivers often report making calls and texts while driving. METHOD: The Minnesota Teen Driver Study incorporated cellular phone blocking functions via a software application for 182 novice teen drivers in two treatment conditions. The first condition included 92 teens who ran a driver support application on a smartphone that also blocked phone usage. The second condition included 90 teens who ran the same application with phone blocking but which also reported back to parents about monitored risky behaviors (e.g., speeding). A third control group consisting of 92 novice teen drivers had the application and phone-based software installed on the phones to record cellular phone (but not block it) use while driving. RESULTS: The two treatment groups made significantly fewer calls and texts per mile driven compared to the control group. The control group data also demonstrated a higher propensity to text while driving rather than making calls. DISCUSSION: Software that blocks cellular phone use (except 911) while driving can be effective at mitigating calling and texting for novice teen drivers. However, subjective data indicates that some teens were motivated to find ways around the software, as well as to use another teen's phone while driving when they were unable to use theirs. PRACTICAL APPLICATIONS: Cellular phone bans for calling and texting are the first step to changing behaviors associated with texting and driving, particularly among novice teen drivers. Blocking software has the additional potential to reduce impulsive calling and texting while driving among novice teen drivers who might logically know the risks, but for whom it is difficult to ignore calling or texting while driving.


Subject(s)
Accidents, Traffic/prevention & control , Automobile Driving , Cell Phone , Mobile Applications , Risk-Taking , Text Messaging , Adolescent , Humans , Learning , Minnesota , Parents , Risk
2.
Accid Anal Prev ; 41(5): 906-13, 2009 Sep.
Article in English | MEDLINE | ID: mdl-19664426

ABSTRACT

Alcohol intoxication is a significant risk factor for fatal traffic crashes; however, there is sparse research on the impairing effects of alcohol on skills involved in motorcycle control. Twenty-four male motorcycle riders between the ages of 21 and 50 were assessed on a test track with task scenarios based on the Motorcycle Safety Foundation's (MSF) training program. A balanced incomplete block design was used to remove confounding artifacts (learning effects) by randomizing four BAC levels across three test days. In general, intoxicated riders demonstrated longer response times and adopted larger tolerances leading to more task performance errors. Most of the alcohol effects were evident at the per se 0.08% alcohol level, but some of the effects were observed at the lower 0.05% alcohol level. The effects of alcohol on motorcycle control and rider behavior were modest and occurred when task demand was high (offset weave), time pressure was high (hazard avoidance for near obstacles), and tolerances were constrained (circuit track). The modest effects may be due to the study design, in which experienced riders performed highly practiced, low-speed tasks; alcohol at these levels may produce larger effects with less experienced riders in more challenging situations.


Subject(s)
Alcohol Drinking/adverse effects , Alcoholic Intoxication/complications , Cognition Disorders/chemically induced , Ethanol/adverse effects , Motorcycles/statistics & numerical data , Safety , Adult , Analysis of Variance , Humans , Male , Middle Aged , Multivariate Analysis , Risk Factors , Task Performance and Analysis
3.
J Safety Res ; 38(4): 413-22, 2007.
Article in English | MEDLINE | ID: mdl-17884428

ABSTRACT

INTRODUCTION: The crash risk of teens is high, with fatal crash rates of teen drivers higher than any other age group. New approaches to reduce teen traffic fatalities are clearly needed. METHOD: A possible approach to reduce the incidence of teen driver crashes and fatalities is through the use of vehicle-based intelligent driver support systems. To be most effective, the system should address the behaviors associated with an overwhelming number of teen fatal crashes: speed, low seatbelt use, and alcohol impairment. In-vehicle technology also offers an opportunity to address the issue of inexperience through enforcement of certain Graduated Driver's License provisions. RESULTS: To fully understand the capability of such technologies, there should be a concerted effort to further their development, and human factors testing should take place to understand their effects on the driver. IMPACT: If successfully implemented, a Teen Driver Support System (TDSS), such as the one described here, could significantly decrease the number of teens killed in traffic crashes.


Subject(s)
Automobile Driving , Automobiles , Health Promotion , Risk-Taking , Adult , Age Factors , Behavior Therapy , Female , Health Behavior , Humans , Male , Minnesota , Risk Assessment , Risk Factors , Social Marketing
4.
Hum Factors ; 47(2): 235-49, 2005.
Article in English | MEDLINE | ID: mdl-16170936

ABSTRACT

A modified version of the flicker technique to induce change blindness was used to examine the effects of time constraints on decision-making accuracy at intersections on a total of 62 young (18-25 years), middle-aged (26-64 years), young-old (65-73 years), and old-old (74+ years) drivers. Thirty-six intersection photographs were manipulated so that one object (i.e., pedestrian, vehicle, sign, or traffic control device) in the scene would change when the images were alternated for either 5 or 8 s using the modified flicker method. Young and middle-aged drivers made significantly more correct decisions than did young-old and old-old drivers. Logistic regression analysis of the data indicated that age and/or time were significant predictors of decision performance in 14 of the 36 intersections. Actual or potential applications of this research include driving assessment and crash investigation.


Subject(s)
Aging , Attention , Automobile Driving , Decision Making , Adolescent , Adult , Aged , Aging/psychology , Alberta , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Time Factors
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