Commentary driver training: Effects of commentary exposure, practice and production on hazard perception and eye movements

Young, Angela H.; Crundall, David; Chapman, Peter

doi:10.1016/j.aap.2017.01.007

Cited by 24 publications

(16 citation statements)

References 26 publications

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“…braking) while driver education refers to a more holistic process incorporating a wider range of information surrounding driving and road safety, although the terms are often used interchangeably (Beanland, Goode, Salmon, & Lenné, 2013). Driver education can occur pre-and-post licensure and a wide variety of types of driver education have been developed which may include in-car skills training, classroombased activities (Raftery & Wundersitz, 2011), or computer-based tasks aimed at specific skills development such as hazard perception (Young, Crundall, & Chapman, 2017). Some jurisdictions, such as in the US, incorporate ongoing driver education and training into high school curriculums (Mayhew, 2007) while others have a mix of professional and informal training which is generally conducted by parents .…”

Section: Driver Education and Trainingmentioning

confidence: 99%

The effect of psychosocial factors on perceptions of driver education using the goals for driver education framework

Bates

Hawkins

Rodwell

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

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Section: Driver Education and Trainingmentioning

confidence: 99%

The effect of psychosocial factors on perceptions of driver education using the goals for driver education framework

Bates

Hawkins

Rodwell

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

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“…We used two-way ANOVAs to analyse the effect of pedestrian type (child, adult) and hazard condition (visible, hidden) on the number of fixations, length of the first fixation and latency of the first fixation. These variables are commonly used to differentiate between experienced, more safe and novice, less safe drivers (e.g., Borowsky et al, 2012;Huestegge et al, 2010;Pradhan et al, 2007;Young et al, 2017).…”

Section: Eye Tracker Datamentioning

confidence: 99%

Young drivers’ perception of adult and child pedestrians in potential street-crossing situations

Ābele¹,

Haustein²,

Møller³

2018

Accident Analysis & Prevention

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Despite overall improvements in road traffic safety, pedestrian accidents continue to be a serious public health problem. Due to lack of experience, limited cognitive and motoric skills, and smaller size, children have a higher injury risk as pedestrians than adults. To what extent drivers adjust their driving behaviour to children's higher vulnerability is largely unknown. To determine whether young male drivers' behaviour and scanning pattern differs when approaching a child and an adult pedestrian in a potential street-crossing situation, sixty-five young (18-24) male drivers' speed, lateral position and eye movements were recorded in a driving simulator. Results showed that fewer drivers responded by slowing down and that drivers had a higher driving speed when approaching a child pedestrian, although the time of the first fixation on both types of pedestrians was the same. However, drivers drove farther away from a child than an adult pedestrian. Additionally, fewer drivers who did not slow down fixated on the speedometer while approaching the child pedestrian. The results show that young drivers behave differently when approaching a child and an adult pedestrian, though not in a way that appropriately accounts for the limitations of a child pedestrian. A better understanding of how drivers respond to different types of pedestrians and why could contribute to the development of pedestrian detection and emergency braking systems.

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“…Guo studied the internal relationship between behaviour and risk perception of elderly drivers and their differences with young and middle-aged drivers through driving simulation experiments [17]. Accordingly, a growing body of evidence demonstrates that training improves the scanning behaviour of young inexperienced drivers, as reflected in a greater horizontal spread of search and reduced average fixation duration towards hazards [23], and increases likelihood of scanning areas that contain critical information about potential hazardous situations [24]. Kahana-Levy et al studied the effectiveness of recurring specific risk scenario training for experienced drivers and novice drivers and found that during training, young inexperienced drivers gradually increased their focus on visible materialized hazards but exhibited no learning curve with respect to hidden hazards [14].…”

Section: Introductionmentioning

confidence: 99%

“…Waard and Brookhuis discriminated between underload and overload, with the former leading to reduced alertness and lowered attention and the latter leading to distraction, diverted attention, and insufficient capacity and time for adequate information processing, which might cause decision or operator errors, which might lead to traffic accidents [28]. So, measuring the mental workload can provide an indication of the cognitive demands placed on the driver [23,29].…”

Section: Introductionmentioning

confidence: 99%

Driver’s Attention Allocation and Mental Workload at Different Random Hazard Points on Prairie Highway

Lyu

Zhu

2022

Journal of Advanced Transportation

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To identify the characteristics of driver’s visual perception and measure the mental workload at different random hazard points on prairie highway, an on-road study was conducted with 28 drivers. The I view X HED eye tracker and MP150 multichannel physiological recorder were used to collect the driver’s eye movement and ECG data at different hazard scenarios synchronously. The gaze transfer theory and statistical methods were used to make comparative analysis of typical visual and mental workload evaluation indicators of drivers at different random risk points. The results show that no matter what kind of random risk is confronted, the percentage of drivers’ fixation duration to the current lane drops, where random risk belongs to increase. The distribution of eye glance transition proportions shows that drivers highly bias their scanning attention by only focusing on transferring between forward and the areas where the random belongs to. Compared with off-road risk points, the driver’s gaze transfer is more frequent when facing on-road risk points, and the gaze transfer path is fixed, indicating that on-road risks have higher requirements for drivers’ perception and greater information processing load. There are obvious differences in the degree of influence of the types of random risk points on driver’s psychology. The heart rate growth rate is the largest when drivers were confronted with overtaking cut-in (37.9%) and forward parking (38%), whereas the index RMSSD changes in the opposite way. It reaches the minimum value when the random risks are overtaking cut-in (22.679 ms) and forward parking (22.907 ms). Meanwhile, the driving speed shows larger fluctuation at risk points on the road. This study reveals that on-road hazards pose greater threats to drivers, and it can contribute to a better understanding of the potential hazards on the prairie highways and provide suggestions for future application of advanced driver assistance systems which can warn drivers about potential hazards.

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Commentary driver training: Effects of commentary exposure, practice and production on hazard perception and eye movements

Cited by 24 publications

References 26 publications

The effect of psychosocial factors on perceptions of driver education using the goals for driver education framework

The effect of psychosocial factors on perceptions of driver education using the goals for driver education framework

Young drivers’ perception of adult and child pedestrians in potential street-crossing situations

Driver’s Attention Allocation and Mental Workload at Different Random Hazard Points on Prairie Highway

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