Anger,aggression, risky behavior,and crash-related outcomes in three groups of drivers

High anger drivers who acknowledged problems with driving anger and were interested in treatment were compared to high and low anger drivers who did not acknowledge problems with driving anger or want treatment. Although high anger drivers who acknowledged problems reported greater anger on two measures than high anger drivers who did not acknowledge problems, both high anger groups tended not to differ from one another and were more frequently and intensely angered when driving, reported more aggressive and less adaptive/constructive forms of expressing anger while driving, engaged in more aggressive and risky behavior on the road, and experienced more of some accident-related outcomes than low anger drivers. High anger groups did not differ from each other, but reported more trait anxiety and anger and more outward negative and less controlled general anger expression than the low anger group. The two groups of high anger drivers, however, require different types of interventions given their state of readiness for driving anger reduction. Results were also interpreted as supportive of the state-trait model of anger and construct validity of the Driving Anger Scale.     

Slow down! Get off that phone! The impact of a high school road safety education program in influencing whether a young person speaks up to a risky driver

Risky driving behaviours such as mobile phone use and speeding remain common among young people, thereby contributing to their over-representation in road crashes. There is much evidence that similar-aged peer passengers can have a negative impact on a young driver’s behaviour; however, there is also research that supports the positive influence that peer passengers can have when they speak up about risky behaviours. Road safety education programs, such as the Royal Automobile Club of Queensland’s (RACQ) Docudrama program, aim to help young people understand the important role they play as peer passengers and, thus, the importance of being willing to speak up to a driver who may be engaging in risky behaviours. Extending on a previous evaluation of the RACQ Docudrama program, the current study uses an Extended Theory of Planned Behaviour framework to evaluate the program’s effectiveness in influencing peer passengers’ intentions and self-reported behaviour in speaking up against risky driving behaviours, including mobile phone use and speeding. A repeated-measures design compared participants’ responses over 3 time-points: Time 1 (one month before participating in the program), Time 2 (immediately after having participated in the program), and Time 3 (three months after program participation). The results indicate that levels of anticipated regret for having not spoken up were higher following participation in the program suggesting that it encouraged young people to consider how they would feel if something was to happen and they, as passengers, had not tried to prevent it by speaking up. Three months after participating in the program, the majority of participants reported that they were positively influenced by the program in terms of engaging in safer behaviours as passengers; although the significant effects regarding improvements were observed only immediately after participating in the program. The implications of such findings are discussed in terms of the need for some type of ‘booster’ post-program participation to capitalise on the positive immediate effects that the program evokes.     

Validation of the F-DBQ: A short (and accurate) risky driving behavior questionnaire for long-haul professional drivers

Although the Driving Behavior Questionnaire (DBQ) remains the most known tool for assessing risky road behaviors among motor vehicle drivers, recent studies have raised several concerns on the specificity of both driving task conditions and behavioral repertory of certain segments of the driving population. Among them, long-haul (cargo) professional drivers constitute one of the “intensive driving” groups for which the existing adapted behavioral research tools are still very scarce.PurposeThe aim of the present study was to test and validate the F-DBQ (or “Freight Driving Behavior Questionnaire”), a short version of the DBQ adapted to the occupational driving conditions and typical road risk behaviors of freight drivers.MethodFor this cross-sectional study, a sample of n = 982 Spanish long-haul drivers with a mean age of 48.5 years was used, responding to a questionnaire composed of measures on road risk behaviors (DBQ), fatigue (Checklist Individual Strength – CIS and Need for Recovery Scale – NFR) and job stress (Effort–Reward Imbalance questionnaire – ERI).ResultsThrough competitive Confirmatory Factor Analyses (CFA) with structural equation models, it was found that the F-DBQ has a clear dimensional structure, a fair goodness-of-fit, high factorial weights, internal consistency, convergent and discriminant validity and an improved fit to long haul drivers’ working conditions. Also, both (general and work-related) fatigue and job stress have shown to have a significant role in explaining risky road behaviors of long-haul drivers.ConclusionThe findings of this study support that an abbreviated version of the Driving Behavior Questionnaire (the F-DBQ) can be used to assess traffic violations and errors among long-haul drivers, in consideration of their specific task-related conditions (that qualitatively differ from other groups of drivers), with potential implications on the enforcement of occupational and road safety research.     

The role of feedback in shaping responses to risky road scenarios: Evidence from electrodermal activity

When faced with hazardous driving situations, rapid and effective risk perception and decision-making processes are of crucial importance for avoiding crashes. In these cases, the processes are accompanied and influenced by underlying psychophysiological mechanisms such as electrodermal activity (EDA) modulations. The present work aims to assess the psychophysiological mechanisms underlying participants’ risk perception and decision-making when facing risky road scenarios, as correlated to the feedback role in modulating participants’ behavior. Study 1 (n = 32) explores the behavioral effects of administering a contingent feedback in a decision (decision-making) and an evaluation (risk perception) task in response to a set of risky and not risky images. The behavioral data reveal an effect on the participants’ probability of response, independently from the type of image presented, when the feedback was administered. In the decision task, the effect is accompanied by a change in the amplitude and percentage of the skin conductance responses (SCRs), which are moderated by block of trials. Study 2 (n = 44) better assesses the role of task and block on participants’ physiological activation, as measured by EDA signal. The results show an increase in psychophysiological activation when the feedback is delivered, in the first part of the tasks, both in terms of SCRs amplitude and percentage to the presented road scenarios, followed by a decrease in the second part of the tasks. Moreover, this effect is more evident in the decision task than the evaluation task. These findings suggest that the role exerted by feedback when facing risky traffic images may be described as based on an associative process that, once the correct response has been learned, tends to be reduced as it becomes automatic. Overall, the results of the two studies represent an important step toward the development of training programs aimed at promoting safer behaviors in risky driving contexts.     

Development of the Questionnaire on the Acceptance of Automated Driving (QAAD): Data-driven models for Level 3 and Level 5 automated driving

Automated driving comes with many promises like zero traffic casualties that are, however, only realizable given their technological development and public acceptance for wide-spread deployment. To investigate the potential acceptance, we developed a new data-driven questionnaire focusing on drivers and barriers of the anticipated possible (non-)adoption of automated driving (AD). Therefore, we conducted a cross-sectional questionnaire study with 725 respondents (351 female, 374 male) ranging from 18 to 96 years. We applied exploratory and confirmatory factor analyses and structural equation modeling, to pursue the overarching goal to develop the QAAD questionnaire (short and long version for SAE Level 3 (L3) and 5 (L5) AD). Hence, we identified the three latent factors PRO (positive aspects), CON (negative aspects), and NDRTs (non-driving related tasks) of L3 (short: 9 items; long: 16) and L5 (short: 11, long: 17), respectively. Additionally, we queried general questions on AD (8 items) and extracted the two factors Early Adoption/Pro AD and Sustainability. Our findings and the goodness-of-fit indices suggest data-driven models for L3 and L5 automated driving and on general aspects focusing on early adoption and sustainability in the context of AD. They can be applied in future research settings, in particular, in (quasi-)experimental L3 and L5 AD studies and in population surveys on AD. The evidence of the presented study should be validated and compared to other questionnaires on AD in different countries around the globe.     

What is the role of narcissism in the relationship between impulsivity and driving anger expression?

The contributing factors of aggressive driving have been studying in the last decades. Both impulsivity and narcissism are associated with aggressive driver behaviors. Although the role of these two factors were examined in the same studies, the combined role of these two factors hasn’t been studied yet. To understand the combined effect of them, in the present study, the moderated mediation model for examining the relationships of narcissism, impulsivity, and aggressive driver behavior was developed and tested. Three hundred and four participants completed an online survey battery comprised of Demographic Information Form, Five-Factor Narcissism Inventory-Short Form, Barrat Impulsiveness Scale- Short Form, and Driving Anger Expression Inventory. The moderated mediation analyses were conducted using PROCESS macro developed by Hayes and Preacher (2013). The results revealed that only the relationship between vulnerable narcissism and the use of vehicle to express anger is mediated by attentional impulsiveness. Also, this relationship is moderated by grandiose narcissism. In detail, grandiose narcissism moderates the direct effect of vulnerable narcissism on attentional impulsivity and also the direct effect of attentional impulsivity on the use of vehicle to express anger. Theoretical and practical implications of these findings and recommendations for future studies are discussed.     

An exploratory investigation into the self-regulatory processes influencing drug driving: Are young drivers more externally regulated?

An upward trend in drug driving has been observed in several countries around the world. Research suggests that younger drivers are more likely to engage in drug driving compared to older drivers. There is also evidence to suggest young drivers differ from older drivers in their capacity for self-regulation. Despite this, research has yet to explore the impact of age on the self-regulatory processes with regard to decisions to drug drive among drug users. A total of 507 Queensland drivers (72.8% female), who reported ever taking an illegal drug, were involved in the research. Participants completed an online questionnaire, which collected demographic and drug consumption information, as well as items assessing the self-regulatory processes influencing drug driving, and drug driving behaviour. Regardless of age, participants reported a tendency towards internalised regulation. However, results suggest that young drivers (aged 18–24 years) feel greater belongingness to people who promote safe transport decisions after taking drugs, compared to drivers aged 25 years and over. Interaction effects revealed that for young drug takers, feeling greater relatedness, along with perceiving competence and importance in planning alternative transport after taking drugs, can be protective against drug driving behaviours. Significant predictors of drug driving were lower relatedness, greater perceived pressure to drug drive, lower effort/importance to plan safe alternatives after taking drugs, being of older age, and greater drug abuse. Counterintuitively, perceiving more options (choice) to take alternative transport after taking drugs also predicted the offending behaviour. The results of this study suggest that enhancing drivers’ competency to make (and value) safe driving decisions is a critical step for road safety.     

Driving anger in Germany: Validation of the driving anger scale for German drivers

In 1994, Deffenbacher et al. published the Driving Anger Scale (DAS), a tool for assessing a driver’s propensity to experience anger in road traffic. Since then, much research has used this scale to measure the driving anger experienced in various countries around the world. This study examines the scale’s validity for German drivers. It also relates their experiences of anger while driving to their experiences and expressions of anger in general, as well as to certain demographic variables. In addition, it compares German drivers’ experiences of driving anger to those reported by drivers from other countries. We distributed a German version of the DAS and the State-Trait Anger Expression Inventory (STAXI) to a sample of 1136 German drivers. Results showed that a 22-items version of the DAS with six factors produced good fit indices for German drivers. Furthermore, data analysis revealed small to moderate significant relationships between German drivers’ driving anger experiences and their experiences and expressions of anger in general, underlining the idea that driving anger is a personality characteristic that is related to one's general experience and expression of anger. Finally, German drivers' driving anger experiences differed from those of drivers from other countries in that German drivers reported less driving anger than drivers from Spain and New Zealand, comparable levels to those from Turkey, Malaysia, and the United States, and more driving anger than drivers from France, Australia, China, and the United Kingdom. In addition, discourteous driver actions and hostile gestures consistently triggered highest driving anger ratings whereas police presence was rated lowest. Given these results, we conclude that the DAS can be applied to German drivers in its modified version.     

I’m curious,I’m open to it,I test it,I trust it! A focus groups study to understand a-priori trust in automated buses

Trust is regarded as one of the main predictors for adopting automated buses (ABs). However, theories about trust (development) in technology generally vary and an in-depths study about trust in ABs specifically is still outstanding. The present study fills this gap by presenting results from focus group interviews to trust (development) in shared automated buses prior to exposure. The objectives of this study are to contrast participants’ naïve concepts of trust with theory and to identify underlying factors influencing a-priori trust in ABs. Results show that the N = 21 focus group participants use different strategies to familiarise themselves with the new technology of ABs, e.g., comparisons with familiar technologies, fundamental tendencies to approach or avoid, additional information seeking, or anthropomorphisation. These strategies largely support existing theories on trust (development) in technology. Differences between naïve interpretations of trust and its theoretical assumptions were found in focus group debates where more control over technology limited uncertainty and led to more trust. While theories suggest control and trust to be incompatible opposites, participants see control as a way to enhance trust. We provide starting points for further theory development and expansion and stress the importance of explanations in emerging technologies for trust and acceptance building.     

On the way to autonomous driving: How age influences the acceptance of driver assistance systems

Driver assistance systems have the potential to create the basis for future mobility solutions. They enable older generations in need of assistance to maintain their mobility even in the case of physical deficits. Therefore, we conducted a literature review and identified factors that may influence the acceptance of driver assistance systems. Based on the technology acceptance model and other influencing factors, we developed a research model that was validated with the help of a study (n = 227). The results show that, depending on age, there are differences in the acceptance of driver assistance systems and their influencing factors among old and young people. The five determinants of acceptance, perceived usefulness, perceived ease of use and trust in technology are viewed as equally important for all age groups. Differences emerge within the group of older vehicle drivers with varying weighting. For the 50–59 age group, perceived ease of use and social norm are most important, while for the 60–69 age group, perceived usefulness and trust in technology are very important. Among 70–90-year olds, trust in technology is emphasized as most important. Our results show how important it is to increase the confidence of older drivers in age-appropriate driver assistance systems, using target-group-specific advertising and public relations work.