Are what happens next exercises and self-generated commentaries useful additions to hazard perception training for novice drivers?

We investigated whether self-generated commentaries and what happens next exercises are useful additions to hazard perception training. Two hundred and thirty-three novice drivers experienced one of four different video-based training interventions derived from an existing hazard perception training package: (1) what happens next training; (2) expert commentary training; (3) hybrid commentary training (i.e., expert plus self-generated commentaries); or (4) the full training package (i.e., what happens next plus hybrid commentary training). There was also a placebo control condition. Drivers’ hazard perception skill was measured using video-based tests featuring real driving footage at three times: immediately prior to the intervention; immediately post-intervention; and after a one-week delay. Compared to the placebo control, all training interventions significantly improved hazard perception response times immediately after the intervention. The full training resulted in the largest improvement, and the what happens next training the least. The addition of self-generated commentaries to the expert commentary training (hybrid commentary condition) did not significantly improve response times. The what happens next training was found to be significantly less effective than the expert commentary training condition both immediately after the intervention, and also after a one week delay. All training effects decayed significantly after the delay, but the effect of full training remained significant. Although no benefit was found in adding self-generated commentaries to expert commentaries, the possibility remains that the what happens next exercises may provide an additional benefit when combined with commentary training. The results provide further support for hazard perception training as an evidence-based alternative to traditional methods of improving novice driver safety.     

Driving after concussion: The acute effect of mild traumatic brain injury on drivers' hazard perception.

Objective: No research has examined whether individuals recovering from a recent mild traumatic brain injury (MTBI) are safe to drive, despite cognitive impairment being a common consequence soon after MTBI. This study examined the acute effect of MTBI on drivers' hazard perception, which is defined as drivers' ability to search the road ahead to rapidly identify potentially dangerous traffic situations. Poorer hazard perception has been associated with higher crash rates in a number of studies. Method: Forty-two patients with MTBI and 43 patients with minor orthopedic injuries were recruited from the emergency department of a large metropolitan hospital within 24 hours of injury. Participants completed a computerized hazard perception test, in which they watched videos of genuine traffic scenes filmed from the driver's point of view. They were required to use the computer mouse to click on potential traffic hazards as early as possible. Results: Participants with MTBI were significantly slower to respond to traffic hazards than participants with minor orthopedic injuries (p = .03, d = .48). Conclusions: This study provides the first indication that within the acute stage postinjury, MTBI is associated with impairment in a crash-related component of driving. This suggests that patients with MTBI should be advised to refrain from driving for at least the first 24 hours' postinjury. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Changes in self-reported driving intentions and attitudes while learning to drive in Great Britain

Novice drivers are overrepresented in traffic collisions, especially in their first year of solo driving. It is widely accepted that some driving behaviours (such as speeding and thrill-seeking) increase risk in this group. Increasingly research is suggesting that attitudes and behavioural intentions held in the pre-driver and learning stage are important in determining later driver behaviour in solo driving. In this study we examine changes in several self-reported attitudes and behavioural intentions across the learning stage in a sample of learner drivers in Great Britain. A sample of 204 learner drivers completed a self-report questionnaire near the beginning of their learning, and then again shortly after they passed their practical driving test. Results showed that self-reported intentions regarding speed choice, perceptions regarding skill level, and intentions regarding thrill-seeking (through driving) became less safe over this time period, while self-reported intentions regarding following distance and overtaking tendency became safer. The results are discussed with reference to models of driver behaviour that focus on task difficulty; it is suggested that the manner in which behind-the-wheel experience relates to the risk measures of interest may be the key determining factor in how these change over the course of learning to drive.     

How realistic are older drivers’ ratings of their driving ability?

One strategy that can be used by older drivers to guard against age-related declines in driving capability is to regulate their driving. This strategy presumes that self-judgments of driving capability are realistic. We found no significant relationships between older drivers’ hazard perception skill ratings and performance on an objective and validated video-based hazard perception test, even when self-ratings of performance on specific scenarios in the test were used. Self-enhancement biases were found across all components of driving skill, including hazard perception. If older drivers’ judgments of their driving capability are unrealistic, then this may compromise the effectiveness of any self-restriction strategies to reduce crash risk.     

Improving older drivers' hazard perception ability.

One reason that older drivers may have elevated crash risk is because they anticipate hazardous situations less well than middle-aged drivers. Hazard perception ability has been found to be amenable to training in young drivers. This article reports an experiment in which video-based hazard perception training was given to drivers who were between the ages of 65 and 94 years. Trained participants were significantly faster at anticipating traffic hazards compared with an untrained control group, and this benefit was present even after the authors controlled for pretraining ability. If future research shows these effects to be robust, the implications for driver training and safety are significant. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The effects of driving experience on responses to a static hazard perception test

Novice drivers exhibit deficits in hazard perception that are likely to increase their risk of collisions. We developed a static hazard perception test that presents still images to observers and requires them to indicate the presence of a traffic conflict that would lead to a collision. Responses to these scenes were obtained for young adult novice (N = 29) and experienced drivers (N = 27). Additionally, participants rated the hazard risk and clutter of each scene. Novice drivers rated traffic conflicts as less hazardous and responded more slowly to them. Using a subset of 21 scenes, we were able to discriminate novice and experienced young adult drivers with a classification accuracy of 78% and a scale reliability (Cronbach's alpha) of .91. The potential applications of this research include the development of standardized hazard perception tests that can be used for driver evaluation, training and licensure.     

The role of cognitive and visual abilities as predictors in the Multifactorial Model of Driving Safety

Objective

The current study evaluated part of the Multifactorial Model of Driving Safety to elucidate the relative importance of cognitive function and a limited range of standard measures of visual function in relation to the Capacity to Drive Safely. Capacity to Drive Safely was operationalized using three validated screening measures for older drivers. These included an adaptation of the well validated Useful Field of View (UFOV) and two newer measures, namely a Hazard Perception Test (HPT), and a Hazard Change Detection Task (HCDT).

Method

Community dwelling drivers (n = 297) aged 65–96 were assessed using a battery of measures of cognitive and visual function.

Results

Factor analysis of these predictor variables yielded factors including Executive/Speed, Vision (measured by visual acuity and contrast sensitivity), Spatial, Visual Closure, and Working Memory. Cognitive and Vision factors explained 83–95% of age-related variance in the Capacity to Drive Safely. Spatial and Working Memory were associated with UFOV, HPT and HCDT, Executive/Speed was associated with UFOV and HCDT and Vision was associated with HPT.

Conclusion

The Capacity to Drive Safely declines with chronological age, and this decline is associated with age-related declines in several higher order cognitive abilities involving manipulation and storage of visuospatial information under speeded conditions. There are also age-independent effects of cognitive function and vision that determine driving safety.     

Risk taking from the participant's perspective: The case of driving and accident risk.

Although perceived health risk plays a prominent role in theories of health behavior, its empirical role in risk taking is less clear. In Study 1 (N = 129), 2 measures of drivers' risk-taking behavior were found to be unrelated to self-estimates of accident concern but to be related to self-ratings of driving skill and the perceived thrill of driving. In Study 2 (N = 405), out of a wide range of potential influences, accident concern had the weakest relationship with risk taking. The authors concluded that although health risk is a key feature in many theories of health behavior and a central focus for researchers and policy makers, it may not be such a prominent factor for those actually taking the risk. (PsycINFO Database Record (c) 2010 APA, all rights reserved)