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.     

Effect of time pressure on steering control of the drivers in a car-following situation

The current study focused on analyzing steering control of the drivers during a car-following situation under increasing time pressure conditions. A driving simulator experiment was conducted on ninety-two participants to assess steering performance measures. Five different steering control measures: Variability in Steering Angle (VSA), Steering Reversal Rate (SRR), Steering Speed (SS), Stability of Steering Control (SSC), and Maximum Steering Swerve (MSS) were examined under No Time Pressure (NTP), Low Time Pressure (LTP), and High Time Pressure (HTP) driving conditions. Repeated measures ANOVA (for continuous data) and Friedman’s test (count data) with post-hoc analysis and Generalized Estimating Equation (GEE) modeling technique were used to investigate the influence of time pressure and different predictor variables. The statistical analysis showed that time pressure driving conditions significantly affected steering control of the drivers. The pairwise comparison of time pressure conditions revealed that HTP significantly affected most of the steering control measures as compared to LTP. Further, a GEE model also exhibited similar results where steering control measures were substantially influenced by HTP as compared to LTP. Moreover, in addition to time pressure conditions, demographic characteristics showed significant influence on steering control measures. The GEE model results showed that female drivers performed 13% more steering corrections (5° SRR) which led to better SSC by 124.44% than male drivers. Additionally, it was discovered that young-aged and experienced drivers took extra steering efforts to control lateral position of the vehicle by increasing 53.50% SS and 1% SRR compared to middle-aged and inexperienced drivers. The findings from the current study revealed that drivers undergo fast and abrupt steering maneuvers under time pressure conditions. The research approach demonstrated in the current study can be beneficial to discriminate minimum requirement of steering efforts and set-up threshold values for various steering evasion techniques to control and maintain safe lateral position during car-following maneuvers.     

Avoidance and personal and occupational quality of life in French people with driving anxiety

Driving anxiety can have a significant impact on one’s quality of life, particularly for those who experience intense levels. However, to date there are limited data about the perceived impact of driving anxiety on occupational life, and driving anxiety remains under-researched in France. To address this gap, an online survey assessing self-reported driving anxiety, how it manifests and its links with some aspects of personal and occupational life was designed. The survey was administered in France to respondents who identified as experiencing driving anxiety. Responses were obtained from 304 people aged 18 years or older. In the sample, 32.2%, 44.7% and 23% respectively reported mild, moderate and extreme levels of driving anxiety. In the extremely anxious group, males were under-represented, whereas people aged 35–44 and unlicensed drivers were over-represented. People who were unemployed (excluding students and retired people), reported that their anxiety had been a barrier to getting a job and a high percentage of these respondents had also previously considered leaving a position because of their anxiety. Respondents also reported their anxiety had a negative impact on their perceived quality of life in general. People who categorised as extremely anxious reported a negative impact four times higher than those in the mildly anxious group.The results highlight for the first time the perceived impact of driving anxiety on daily and occupational life in a French population. Further, the results demonstrate the importance of distinguishing between moderately and extremely anxious drivers as the intensity level has differential impacts on personal and work life quality.     

Can prosocial attitude reduce the risk behavior in simulated driving?

High traffic density may lead to more traffic accidents because of more frequent lane change and overtaking behaviors, but drivers with different characteristics may exhibit different driving behaviors. The present study explored the difference in driving behaviors between drivers with a high/low prosocial attitude under high/low traffic density. In this study, a 2 (high/low prosocial attitude) *2 (high/low traffic density) mixed design was used to investigate the interaction between prosocial attitude and traffic density on lane change and overtaking behavior. The implicit association test paradigm was used to measure prosocial attitude, and drivers were divided into two groups. Forty subjects were asked to complete simulated driving tasks under the two conditions of high and low traffic density, and driving behaviors were recorded by driving simulators. The results show that high traffic density leads to more lane change and overtaking behavior. Drivers with a high prosocial attitude have better driving performance under both high and low traffic density, but drivers with a low prosocial attitude maintain a smaller transverse distance from adjacent vehicles in high traffic density, which may increase risk. This study provides support for the selection, training and intervention of professional drivers.     

A study identifying the origins of different types of drink driving events through the lens of deterrence: Is it alcohol abuse or avoiding detection?

BackgroundWhile attempts to identify the mechanisms to effectively deter drink driving remains a central focus for road safety researchers, scant scientific enquiry has simultaneously examined perceptions of apprehension risk in combination with substance abuse. This may be considered a significant oversight given that such constructs may create opposing forces, or alternatively, alcohol abuse and punishment avoidance may create cumulative effects and promote offending behaviours.MethodThis paper reports on an investigation of 718 Queensland motorists' self-reported perceptions of classical and reconceptualised deterrence constructs (as well as alcohol consumption) in order to determine what factors have the greatest effect on promoting drink driving, particularly alcohol consumption or punishment avoidance. The sample completed an online or paper version of the questionnaire.Results“Possible” drink driving events were slightly more common (25.5%) than “acknowledged” drink driving events (16.6%). Future intentions to drink and drive (23.4%) were more common among those who reported an “acknowledged” drink driving event (63.5% reported future intentions to drink drive) than a “possible” drink driving event (47.5%). Sequential binary logistic regression models conducted for each drink driving category revealed that having “risky” drinking behaviour and both direct personal and indirect experience of punishment for a drink driving offence were predictors of “possible” drink driving events. Similarly, “acknowledged” drink driving had the same significant predictors with the addition of increases in age and punishment severity reducing the likelihood of drink driving and direct punishment avoidance having a positive effect. However, and importantly, only direct punishment avoidance and past “possible” and “acknowledged” drink driving events predicted future intentions to offend in the final model, which further reinforces that drink driving is a deliberate decision (rather than stemming primarily from impairment).Practical applications: The findings provide support for increased policing efforts to identify drink drivers.     

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.     

Can driving condition prompt systems improve passenger comfort of intelligent vehicles? A driving simulator study

The main trend in the development of intelligent vehicles has been on ensuring comfort, safety, efficiency, and environmental sustainability. However, current research focuses primarily on the safety and energy saving of intelligent vehicles, and a comfortable driving experience through a human–machine interaction system has not been sufficiently investigated. This study used a high-fidelity 6-degree-of-freedom driving simulator to evaluate the impact of an independently-designed vehicle driving condition prompt (DCP) systems on subjective passenger comfort and motion sickness. The experiment showed that when future driving information is obtained through the vehicle DCP systems, the passengers' subjective comfort is improved, motion sickness is alleviated, and the degree of passenger posture instability is reduced. These conclusions contribute toward improving the comfort of autonomous vehicles and providing a reference for the future design of human–machine interaction systems for intelligent vehicles.     

Exploring the effects of EEG signals on collision cases happening in the process of young drivers’ braking

Detecting mental states in drivers offers an opportunity to reduce accidents by triggering alerts and signaling the need for rest or renewed focus. Here we used electroencephalography (EEG) to measure brain signals in young drivers operating a driving simulator to detect mental states and predict accidents. We measured reaction times to unexpected hazardous events and correlated them with EEG signals measured from the frontal, parietal, and temporal cortices as well as the central sulcus (corresponding to motor cortex). We found that EEG signals in the relative beta (power in beta (13–30 Hz) relative to total power of the EEG (0.5–30 Hz)), alpha/delta, alpha/theta, beta/delta, beta/theta frequency bands were higher for collisions than successful collision avoidance, and that the key decision-making period is the 2nd second before braking. Importantly, a decision tree classifier trained on these neural signals predicted collision avoidance outcomes. Then based on random forest model, we extracted three critical neural signals (beta/delta_frontal, relative beta_parietal and relative beta_central Sulcus) to classify collision avoidance outcomes. Our findings suggest measuring EEG during driving may provide useful signals for enhancing driver safety.     

Tactile encoding of directions and temporal distances to safety hazards supports drivers in overtaking and intersection scenarios

Safe traffic participation requires continuous monitoring of the environment for potential safety hazards. Here we investigate, to what extent an interface using directed tactile stimuli to communicate temporal distances to approaching objects can make drivers feel supported and influence their driving safety. In contrast to previous studies, we focus on conditions in which the driver has relatively high levels of control over the criticality of evolving hazards as well as on scenarios with laterally approaching hazards. In a dynamic driving simulator experiment, 33 participants completed a selection of overtaking and intersection scenarios with and without sensory support. Furthermore, two novel variants of the interface which differed in the resolution of the temporal distance encoding were utilized. We measured safety, quantified as minimum time-to-contact (mTTC) and rate of critical situations, and assessed the participants’ subjective understanding, acceptance and perceived helpfulness of the support functions. Participants understood the system in both variants after brief exposure. The subjective evaluation was positive with regard to helpfulness, acceptance, and custom questionnaire responses. While mTTC values did not differ between supported and baseline drives, the availability of the system reduced the occurrence of safety–critical situations in intersection scenarios. Driving statistics further reveal that the availability of the system increased the likelihood for entering system-relevant signaling ranges in overtaking scenarios. In sum, the presented work extends previous findings by showing that the subjective utility of the investigated tactile interface applies beyond critical situations and that it can also provide a safety advantage at intersections.     

Effectiveness of risk awareness perception training in dynamic simulator scenarios involving salient distractors

The Risk Awareness Perception Training (RAPT) has been shown to improve latent hazard anticipation in young drivers. However, previous evaluation scenarios in a driving simulator often lacked either dynamic road environment features or control for such variations. The current study investigated whether the effectiveness of RAPT persists even in the presence of dynamic and salient distractors. Twenty RAPT-trained drivers and twenty-one Placebo-trained young drivers (aged 18–21) drove through eight simulated driving scenarios with latent hazards. A pedestrian avatar served as a distractor and was placed across from the latent hazard location. In half of the scenarios, the pedestrian remained static while in the other half the pedestrian started to move, without potential interference with the driver’s travelling path, as the drivers approached the latent hazard. Consistent with previous research, RAPT-trained drivers demonstrated better latent hazard anticipation performance than Placebo-trained drivers regardless of dynamic movement of the pedestrian avatar. Additionally, RAPT-trained drivers adopted wider scanning patterns and fixated more frequently on both the latent hazard and the pedestrian compared to Placebo-trained drivers. The results imply that RAPT may protect drivers from being distracted by dynamic stimuli and allow them to scan safety–critical areas containing latent hazards. Furthermore, RAPT may not only improve tactical hazard anticipation skills, but also modal hazard anticipation skills in young drivers.