Effectiveness of a strategic hazard anticipation training intervention in high risk scenarios

Krishnan, Akhilesh; Samuel, Siby; Yamani, Yusuke; Romoser, Matthew R. E.; Fisher, Donald L.

doi:10.1016/j.trf.2019.10.004

Cited by 18 publications

(8 citation statements)

References 23 publications

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“…As an alternative to an actual cell phone conversation, a mock cell phone task was used in this study, since unscripted conversations are more difficult to control experimentally. Previous studies have shown that this type of secondary task can approximately induce the same amount of cognitive load as a hands-free cell phone conversation ( 25 , 32 ). The mock cell phone task induces cognitive load by requiring participants to listen and respond to a series of sentences, similar to a grammatical reasoning task validated in previous studies ( 33 , 34 ).…”

Section: Methodsmentioning

confidence: 93%

Impact of Cognitive Distractions on Drivers’ Hazard Anticipation Behavior in Complex Scenarios

Ebadi

Fisher

Roberts

2019

Transportation Research Record: Journal of the Transportation R

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Distraction is one of the main causes of traffic crashes. The effect of cell phones, a major contributor to cognitive distraction, on response time has tested in many simulator studies. Response time is not the only driving skill affected by cell phone conversations, however. Specifically, it is known that cell phone usage contributes to a reduction in hazard anticipation skills at intersections, and there are many other scenarios where cell phone conversations could have a detrimental effect. The objective of this study is to determine whether cognitive distractions associated with cell phone use affect hazard anticipation, not only at intersections but also in other scenarios which contain latent hazards. Twenty-four drivers navigated 18 scenarios on a driving simulator twice, with their eye movements continuously monitored. During one drive, participants performed a hands-free mock cell phone task while driving; on the other drive, they navigated through the virtual world without any additional tasks apart from the primary task of driving. The scenarios were classified into two types: intersection and non-intersection. Using a logistic regression model within the framework of generalized estimation equations, it was determined that the proportion of anticipatory glances toward potential hazards was reduced significantly for all scenarios when drivers were engaged in a mock cell phone task. Perhaps the most disturbing finding is that this was true both at work zones and at marked midblock crosswalks, scenarios which often endanger vulnerable road users. In summary, the study found a negative effect of cognitive distraction on latent hazard anticipation.

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Section: Methodsmentioning

confidence: 93%

Impact of Cognitive Distractions on Drivers’ Hazard Anticipation Behavior in Complex Scenarios

Ebadi

Fisher

Roberts

2019

Transportation Research Record: Journal of the Transportation R

Self Cite

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“…Young drivers who have been involved in road crashes may fail to perceive risk in a holistic way [ 27 , 28 , 29 ] and focus on specific hazards rather than the overall level of risk that a certain situation may involve [ 30 ]. They may also be slower at detecting common hazardous situations [ 8 , 31 , 32 ], which may influence risk-taking behaviours through poor understanding of on-road dangers [ 33 ]. Young drivers have been found to be less likely to rate speeding as high risk than older drivers [ 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender

Ventsislavova

García-Fernández

Castro

2021

IJERPH

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Young novice drivers are more prone than older drivers to get involved in a risky driving situation. Some young drivers underestimate risk while overestimating their driving abilities, increasing the likelihood of engaging in risky behaviour. Age and inexperience both influence risk estimation, though it is not clear which of these variables is more important. Can drivers’ willingness to engage in risky behaviour be assessed in a similar way to hazard perception skill using video-based risky situations? The aim of the current study was to assess whether a video-based tool could measure the willingness to participate in risky driving situations and whether it can distinguish between different types of risky driving scenarios across gender and driver age groups. We also explored the moderating effect of age and gender on drivers’ experience in relation to the risky manoeuvres and participants’ willingness to engage in risky situations. Participants were presented with naturalistic videos from the perspective of the driver that contained active risky situations (result of driver’s own actions) and were asked to make a decision regarding a potential action (to overtake a bus/bicycle or pass through an amber light) and whether they would accelerate at this point. Participants reported that they were more willing to accelerate and overtake cyclists and buses and less willing to pass a light in amber. Young drivers were more willing to both engage in the risky behaviours and accelerate than older drivers, with young males reporting higher scores than the other groups. Gender differences were observed, with males being more prone to overtake and pass through a light in amber than females; however, this difference was not observed for the intention to accelerate. All the above effects remained when we tested the impact of experience on decision making while controlling for age and gender, although driving experience was no longer significant. These results demonstrate that drivers’ intention to assume risk can indeed be measured in a similar video-based methodology to that used by hazard perception tests. The findings raise the possibility of assessing and training drivers on a wider range of safety-related behaviours.

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“…While some articles focused on the cognitive component, especially to find out how a hands-free phone conversation affects the driver’s performance [ 66 , 71 , 76 , 90 , 91 , 92 , 93 ], others considered two, three, or even four types of distractions. For example, cognitive and manual components were analyzed in [ 94 , 95 , 96 ], cognitive and visual components were presented in [ 25 , 97 ], and cognitive, visual, and manual attributes of the distraction were evaluated in [ 26 , 98 ] or [ 99 ]. As we have seen, only one article considered all four components of distraction: [ 100 ].…”

Section: Resultsmentioning

confidence: 99%

Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

Boboc

Voinea

Buzdugan

et al. 2022

IJERPH

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Distracted driving is a growing concern around the world and has been the focus of many naturalistic and simulator-based studies. Driving simulators provide excellent practical and theoretical help in studying the driving process, and considerable efforts have been made to prove their validity. This research aimed to review relevant simulator-based studies focused on investigating the effects of the talking-on-the-phone-while-driving distraction on drivers’ behavior. This work is a scoping review which followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. The search was performed on five databases, covering twenty years of research results. It was focused on finding answers to three research questions that could offer an overview of the main sources of distraction, the research infrastructure, and the measures that were used to analyze and predict the effects of distractions. A number of 4332 studies were identified in the database search, from which 83 were included in the review. The main findings revealed that TPWD distraction negatively affects driving performance, exposing drivers to dangerous traffic situations. Moreover, there is a general understanding that the driver’s cognitive, manual, visual, and auditory resources are all involved, to a certain degree, when executing a secondary task while driving.

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Effectiveness of a strategic hazard anticipation training intervention in high risk scenarios

Cited by 18 publications

References 23 publications

Impact of Cognitive Distractions on Drivers’ Hazard Anticipation Behavior in Complex Scenarios

Impact of Cognitive Distractions on Drivers’ Hazard Anticipation Behavior in Complex Scenarios

Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender

Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

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