The conditioned anticipation of people (CAP) model of driving in urban spaces

Despite significant gains in overall collision rates, pedestrian and bicycle safety in complete street environments remains an on-going challenge. However, urban areas with the most risk exposure for pedestrians continue to maintain lower incident rates than their suburban counterparts (“Dangerous by Design” 2021). Under most driving circumstances, the over-rehearsed nature of driving leads to a psychological state similar to self-hypnosis, where attention is subconsciously maintained on the driving task while metacognitive awareness is minimized or eliminated. This state continues until some type of conflict, uncertainty, and/or novel stimulus is presented. The primary difference in driver attention in urban environments is postulated to result from the Conditioned Anticipation of People (CAP). Based on the human neurological predisposition to recognize and fixate on human faces and figures, we hypothesize that in areas where drivers have been conditioned to expect human presence, low-level metacognition is preemptively re-engaged to address their presence, resulting in higher attentional resource expenditure and increased distraction management. Such conditioning may be generated by contextual features common to pedestrian-friendly environments but, necessarily, must be reinforced over time by the Actual Presence of People (APP). CAP driver engagement is limited by the perceptual abilities of the driver such that at higher speeds or within wider corridors, the presence of pedestrians is more difficult to perceive. This results in a non-CAP attention pattern, exhibiting minimal metacognitive activity, high levels of automaticity, and reduced attention. This model was generated based on the observation that vulnerable user presence and the roadway contextual features that support the driver's ability to see vulnerable users were related to attention data measured during the SHRP2 Naturalistic Driving Study. Visually discernable features that were associated with vulnerable user presence had relationships with attention and large effect sizes (η² > 0.5). Contextual features that had relationships with vulnerable user presence, but minimal visual impact or interfered with the driver’s ability to see vulnerable users had no relationship to driver attention. This behavioral pattern provides supportive evidence for the proposed model.     

From anticipation to behavioral intention: Insights into human processing of multiple retrieval cues in road traffic

Anticipation in road traffic enables safer and more comfortable driving. Anticipatory driving is achieved through effective retrieval of prior driving-relevant knowledge using mental models and appropriate cues. Knowing when and which retrieval cues have a critical impact on the anticipation process and how information compatibility affects anticipation can be the basis for supporting people in anticipating and appropriate behavior in road traffic.For generating in-depth insights into the processing of retrieval cues, a video-based experimental study was conducted combining specific compatible and incompatible retrieval cues in urban driving scenarios. From a driver's perspective, participants were asked to anticipate in a two-step approach (measuring low and high certainty anticipation) whether a vehicle ahead would enter their lane or turn onto another street due to a lane blockage ahead. Further, they choose their preferred behavioral intention (accelerate, decelerate or maintain speed). In general, drivers strived for coherent situation representation, and in this process, multiple retrieval cues influenced anticipation in different ways. Participants were more likely to be consistent in their anticipation response. That is, they tend to follow their first intention (equivalent low and high certainty anticipation for either lane change or turn) even in the presence of incompatible stimuli. Inconsistent compared to consistent anticipation responses, however, led to reduced subjective confidence, and in part to increased criticality. Not only anticipation but also intended behavior was influenced by retrieval cues. In accordance, the anticipation of others' behaviors can be considered a predictor of specific intended behavior in road traffic.     

Transition patterns of driving style from a traditional driving environment to a connected vehicle environment: A case of an extra-long tunnel road

To provide a better understanding of individual driver’s driving style classification in a traditional and a CV environment, spatiotemporal characteristics of vehicle trajectories on a road tunnel were extracted through a driving simulator-based experiment. Speed, acceleration, and rate of acceleration changes are selected as clustering indexes. The dynamic time warping and k-means clustering were adopted to classify participants into different risk level groups. To assess the driver behavior benefits in a CV environment, an indicator BI (behavior indicator, BI) was defined based on the standard deviation of speed, the standard deviation of acceleration, and the standard deviation of the rate of acceleration change. Then, the index BI of each driver was calculated. Furthermore, this paper explored driving style classification, not in terms of traditional driving environment, but rather the transition patterns from a traditional driving environment to a CV environment. The results revealed that inside a long tunnel, 80 % of drivers benefited from a CV environment. Moreover, drivers might need training before using a CV system, especially female drivers who have low driving mileage. In addition, the results showed that the driving style of 69 % of the drivers’ transferred from a high risk-level to a low risk-level when driving in a CV environment. The study results can be expected to improve driving training education programs and also to provide a valuable reference for developing individual in-vehicle human-machine interface projects and other proactive safety countermeasures.     

A brief and unsupervised online intervention improves performance on a validated test of hazard perception skill used for driver licensing

Drivers who have higher levels of hazard perception skill also tend to have fewer crashes. Training designed to improve this skill has therefore been proposed as a strategy for reducing crash risk. To date, however, hazard perception training has only been evaluated in supervised settings. This means that improvements in hazard perception skill resulting from such training may not generalize to unsupervised situations, which may limit opportunities for large scale roll-out via automated delivery methods. In the present study, we investigated whether a brief video-based training intervention could improve hazard perception skill when drivers completed it online without supervision. The training involved drivers watching videos of traffic scenes, while generating a commentary of what they were searching for, monitoring, and anticipating in each scene. Drivers then compared their own commentary to a pre-recorded commentary generated by an expert driver, hence allowing for performance feedback without an instructor present. A convenience sample of 93 drivers (who did not receive any performance-related incentives) participated in a randomized control study. The training was found to significantly improve response times to hazards in stimuli from the official hazard perception test used for driver licensing in Queensland, Australia, which is known to predict crash involvement. That is, the training was effective in improving hazard perception skill (Cohen’s d = 0.50), even though participants were aware that no one was monitoring the extent to which they engaged in the intervention. Given that the training could, in principle, be deployed at scale with minimal resources (e.g. via any online platform that allows video streaming), the intervention may represent a practical and effective opportunity to improve road safety.     

Individual differences in performance and learning of visual anticipation in expert field hockey goalkeepers

The study of anticipation in truly expert performers can provide insight into how they cope with extreme time constraints. The purpose of this dual-experiment paper was to investigate individual differences; in anticipation of the penalty corner drag-flick, its trainability, and transfer of improvement to field settings. Australian international and national male field-hockey goalkeepers participated. In experiment 1, international and national goalkeepers (n = 11) completed a penalty corner drag-flick temporal occlusion task that presented; defensive runner positioning at the penalty spot, drag-flicker kinematics, and ball flight. Results indicated seven goalkeepers integrated runner contextual and drag-flicker kinematic information to anticipate above chance. The cause of individual differences was independent pick-up of run and kinematic cues that presented greater opportunity to integrate sources for anticipation. In experiment 2, a sub-sample of goalkeepers participated and received temporal occlusion training or no training. Results indicated individualized improvement in anticipation across video, field, and competition assessments for those that received the intervention, but not controls. Improvements on video test were retained for six months. An individual differences approach can identify deficiencies in anticipation, which can be improved through perceptual training that transfers to motor responses. This contributes to theoretical and practical knowledge to develop anticipation skill.     

Using an infotainment system while driving – A continuous analysis of behavior adaptations

Despite the fact that drivers are performing a lot of distracting tasks while driving (e.g. usage of infotainment systems) they are usually able to manage difficult situations. Drivers often seem to be able to adapt and effectively regulate their behavior according to the demands of the driving situation. Not much is known about the functional behavior that allows drivers to successfully regulate their intentional demands. The current study aims to investigate these adaptations and provides a methodological approach to do so. 38 participants performed a simulated driving task while using an In-Vehicle Infotainment System. Driving data and activity data for the secondary task were recorded and analyzed continuously over time. Participants permanently adapted their driving behavior and particularly reduced their secondary task activity when approaching critical driving situations. Following that, drivers should be regarded as active managers of their workload capacities, who actively frame a driving situation and adjust their operating behavior to the environment. To measure these adjustments, a continuous analysis of both driving as well as secondary task behavior is essential.     

The effect of the emotional state on driving performance in a simulated car-following task

Emotion is an important factor that influences driving behavior, but the mechanism is unclear. This research explored the effect of the emotional state on simulated driving behavior. Thirty-five licensed drivers participated in this study and completed a car-following task. The angry, happy and neutral states were manipulated during the task. The participants’ driving performance and risk perception were recorded under each emotional state. Trait anger and driving experience were also measured to explore the possible mediating effect. The results showed that the drivers in an angry or happy emotional state tended to maintain less time to collision and take a longer time to brake while following a lead vehicle than the drivers under the neutral condition, suggesting that drivers in emotional states are more dangerous those in neutral states. Moreover, the happy state rendered the drivers more dangerous, which manifested as a lower perceived accident risk than that among the drivers in the angry and neutral states. More specifically, experienced drivers in happy states performed worse with respect to vehicle lateral position control. Recommendations and implications for safety education and further research are discussed.     

Exploring the effects of the location of the lane-end sign and traffic volume on multistage lane-changing behaviors in work zone areas: A driving simulator-based study

The lane-changing behavior in work zone areas has special features than a regular lane change as the former is usually compulsively motivated involving complicated cognitive processes with drivers’ perception of work-zone control devices. Toward this end, this study conducted a driving simulator-based experiment to understand the effects of lane-end sign distance and traffic volume on driving behaviors. A conceptual model was also proposed to partition the whole lane-changing process into three stages, i.e. the perception, preparation and action stages, reflecting different cognitive and manipulative activities of drivers. In addition to the lane-end sign distance and traffic volume, gender and profession of drivers were adopted as covariates. In this experiment, a complete combination of lane-end sign distance and traffic volume served as treatments. The results verify the impacts of those factors on driving behaviors in and across different stages. For example, the location of the lane-end sign had a profound influence on drivers' perception of the imminent work-zone situation, but the influence continued to diminish in the following two stages. On the other hand, male or taxi drivers tended to act earlier than female or regular drivers respectively, for all the three stages. According to the analysis, several practical implications were also provided. In specific, the lane-end sign is recommended to be installed 500 m upstream to the lane dropping point of work zones. It is a pioneer study toward investigating multistage driving behaviors in work zone areas, which is expected to provide references and guidance for the design of traffic control devices and other driving simulator-based studies.     

A study of the compliance level of connected vehicle warning information in a fog warning system based on a driving simulation

The accidents in the freeway are frequent and more serious on foggy days. Connected vehicle (CV) technology as a new technology can inform drivers of fog conditions in advance so the drivers can adjust their driving behaviors through Human Machine Interface (HMI) and Dynamic Message Sign (DMS) in the fog warning system. The level of driver's compliance with a fog warning system is the key to assessing the effectiveness of the fog warning system. To evaluate the compliance level of fog warning system, the study established a CV system testing platform based on driving simulator, and analyzed the changes in driving behavior and influencing factors for drivers under three different visibility conditions (No fog, light fog and heavy fog) based on the platform, finally, comprehensive evaluation of the optimal fog warning system under different foggy conditions based on the compliance level were made. Research indicators are divided into three aspects: 1) the response degree, including the mean speed, the minimum speed in the fog zone, the difference of the speeds when entering and leaving the fog zone, the proportion of speed following, and the speed reduction proportion prompt; 2) the response start time, which is the time to start slowing down to the speed limit; and 3) the response time duration, namely, the time in which the speed limit is followed. The results show that the response degree of the driver to the fog warning system is high, the fog warning system can effectively reduce the driving speed of the drivers and improve the speed following proportion of the drivers, the deceleration ratio of the driver at each warning point is relatively high, and the influencing factors of various indicators are complex but are mostly related to visibility and technical level. Comprehensive evaluation results show that the warning mode of the combined HMI and DMS has the highest level of compliance under light fog conditions, and when fog concentration increases, compliance level of fog warning system with HMI only is higher than others. The study establishes a reference platform for CV system and provides methods and index system for the compliance level of CV research.     

Effects of traditional and immersive video on anticipation in cricket: A temporal occlusion study

Traditional videos are frequently employed to assess anticipation within interceptive sports. However, there are limitations associated with traditional videos which impair the degree of correspondence between training interventions and competitive performances. Virtual reality (VR) head-mounted displays allow for the presentation of immersive videos in 360-degrees that might offer a more effective means by which to train athletes. Nonetheless, there is a paucity of research examining the efficacy of immersive videos in a cricket context. The main purpose of the present investigation was to compare batters’ ability to accurately predict the landing location of deliveries, and assess their confidence in such predictions, when viewing traditional and immersive videos. We also examined the degree to which delivery style (i.e., bowling machine, throwdowns, spin, and pace bowling) impacted prediction accuracy and confidence scores. Forty deliveries (i.e., 10 per style; occluded at 120 ms post-ball release) were presented to amateur cricketers (N = 18) in traditional and immersive video conditions. Participants were required to anticipate the landing location of the ball and rate their prediction confidence after each delivery. Analyses indicated a main effect of viewing condition that applied only to prediction. Participants predicted the landing location of the ball with the greatest accuracy in the immersive video footage condition. There was a main effect of delivery style for confidence only, with higher scores observed in the throwdown, spin, and pace conditions, when compared to the bowling machine. Given the increasing rate at which VR is becoming accessible, immersive videos should be considered by sport psychologists as an effective means by which to assess anticipation in cricket.     

Approaching to a structural model of impulsivity and driving anger as predictors of risk behaviors in young drivers

Due to the high rates of traffic accidents in young drivers, psychology studies identify road anger as an important factor associated to risk driving behaviors, in order to know which psychological variables can predict road anger, the literature suggest impulsivity as an individual condition related to anger. The objective of this research is to obtain an explanatory model of risk driving as a result of the relationship of impulsivity, road anger expression and the control of impulsivity and anger. A sample of 407 subjects, both sexes drivers were surveyed, obtaining a structural equation model with acceptable adjustment values. The model showed that control of impulsivity and anger predict impulsivity (β = −0.25) and physical expression of anger (β = −0.50), Impulsivity also showed predictive capacity towards the physical expression of anger (β = 0.29), and the physical expression of anger towards risk driving behaviors (β = 0.89). Due to the findings it is suggested the implementation of social programs that promote the development of anger regulatory skills and impulse control, as part of the preventive actions of road accidents.     

Supervisor undermining and driving errors in truck drivers: A moderated mediation model

The present study focuses on the detrimental impact of supervisor undermining behaviors at work on driving errors for truck drivers, arguing for the mediating role of burnout. Moreover, this research highlights the moderating role of general self-efficacy in the relationships between supervisor undermining and burnout, and between burnout and driving errors, respectively. The data collected from a sample of 190 Romanian drivers supported a moderated mediation model in which burnout partially mediates the relation between supervisor undermining and driving errors, while self-efficacy moderates both aforementioned relationships. The conditional indirect effect of supervisor undermining on driving errors was significant when self-efficacy was low and non-significant when self-efficacy was high. Overall, our results emphasize the negative impact that supervisor undermining and burnout have on driving errors, while also highlighting the buffering effect of self-efficacy.     

An online hazard perception training course reduces heavy braking,speeding, and over-revving rates during everyday driving

In essence, driver training involves learning the skills required to drive safely and avoid dangerous events. However, in traditional on-road driver instruction, drivers virtually never accrue experience of the most significant types of events that they are learning to avoid: crashes. One means of providing this experience safely is to present novice drivers with video clips of real crashes, as part of structured learning exercises. A six-week automated online hazard perception training course for drivers, incorporating evidence-based training methods and over a hundred crash clips, was previously found to improve novice drivers’ hazard perception skill, which is known to be an important attribute for avoiding crashes. However, since hazard perception was measured using computer-based methods, the possibility remained that the training effect might not transfer to actual driving. We report a randomized control trial in which novice drivers were recruited to assess everyday driving behaviour objectively, using g-force triggered dashcams and GPS trackers installed in their vehicles. On-road data were collected for a one-month baseline period, and for a further two months after half of the sample completed the hazard perception training course. Drivers who completed the course significantly reduced their rate of heavy-braking events, their speeding behaviour, and their rate of over-revving events. These findings support the proposal that a relatively inexpensive and highly scalable hazard perception training intervention can improve on-road driving behaviour, with the clear potential to impact real-world driver safety.     

The relationship between ADHD symptoms and driving behavior in college students: The mediating effects of negative emotions and emotion control

Previous research has shown a relationship between attention deficit-hyperactivity disorder (ADHD) symptoms and driving anger and adverse driving outcomes. Moreover, adults with ADHD symptoms express their emotions in more aggressive ways, indicating a lack of emotion control. The present study surveyed 246 college students to examine the relationship among ADHD symptoms, negative emotions, emotion control, and driving anger and safe driving behavior. Mediating effects of negative emotions and emotional control on the relationship between ADHD symptoms and self-reported driving anger and safe driving behavior were also examined. Both negative emotions and emotion control were significant mediators of the relationship between ADHD symptoms and driving anger, but not safe driving behavior. Mediation was stronger for ADHD-Hyperactive/Impulsive symptoms than for ADHD-Inattention symptoms. These results may provide some insight on how to design training programs for individuals with ADHD symptoms to increase driving safety.     

Valid representation of a highly dynamic collision avoidance scenario in a driving simulator

In Germany the second-most frequent accidents in road traffic are rear-end collisions. For this reason rear-end collisions are quite important for accident research and the development of driving safety systems. To examine the functionality and to design the human–machine-interface of new driving safety systems, especially in the early development phase, subject tests are necessary. Because of the great hazard potential of such safety critical scenarios for the test persons, they are often conducted in a driving simulator (DS). Accordingly, validity is an important qualification to ensure that the findings collected in a simulated test environment can be directly transferred to the real world.This paper regards the question of driving behavior validity of DS in critical situations. There are hardly any validation studies which analyze the driving behavior in a specific collision avoidance situation.The validation study described in this paper aims to evaluate the behavioral validity of a fixed-base simulator in a collision avoidance situation. For this reason a field study from 2007 was replicated in a fixed-base simulator environment.The main questions of this validation study were if the driver can notice an active hazard braking system and if the driving behavior in a static simulator can be valid in such a critical situation.The key finding of the study states that there is no driving behavior validity in a static driving simulator for the tested dynamic scenario. The missing vestibular feedback causes a different behavior of the participants in field and simulator. The resulting absence of comparability leads to non-valid performance indicators. But these indicators are key parameters for analyzing the function and acceptance of active braking systems. So the question arises, which motion performance does a motion base have to provide in order to achieve valid acceleration simulation of such a highly dynamic collision avoidance scenario. The DS’s performance is measured in workspace, velocity and acceleration.     

A driving simulation study to investigate the information threshold of graphical variable message signs based on visual perception characteristics of drivers

Graphical variable message signs (VMSs) are infrastructure-based advanced traveler information systems widely used to provide drivers with real-time traffic condition information about a road section or area. However, there is a lack of research on the suitable volume of information to be shown on graphical VMSs. In practice, an overload of VMS information commonly exists, especially on China’s highways. Building on our earlier findings obtained through surveys and static cognitive experiments, this study introduces the use of dynamic simulation experiments to assess the influence of the volume of information (i.e., number of roads displayed) on graphical VMSs from the perspective of drivers’ visual perception characteristics. Thirty-two drivers participated in the driving simulation experiment and questionnaires. Five indexes, including legibility speed, legibility distance, legibility time, comprehension accuracy, and driver subjective scoring, were thoroughly analyzed to evaluate their relationships to different volumes of information (i.e., four, five, and six roads shown on a VMS). The results show that the legibility distance notably decreased with increasing volumes of information. The comprehension accuracy decreased significantly when the number of roads shown increased to six. The legibility speed, legibility time, and subjective scoring also deteriorated as the number of roads displayed on the VMS increased. The index scores were evaluated, in combination with the data of the drivers’ subjective scoring, data-based statistical analyses, and comprehensive evaluations using the TOPSIS method, to recommend that five is the recommended maximum number of roads to be shown on a graphical VMS. The results of this study support the goal of providing understandable and effective messages for drivers by addressing issues relating to how much information should be displayed on a VMS. These findings provide a basis for policy development to ensure consistent and practical designs of graphical VMSs on highways.     

A psychophysiological and driving performance evaluation of focal and ambient visual processing demands in simulated driving

Research has focused little on the ambient and focal visual channels within which driving and side-task information can be processed. In the current experiment, for the purpose of demonstrating differentiation of focal and ambient visual processing attentional demands on driving performance and physiological response, subjects participated in a dual-task driving simulation that contained focal and ambient components. We hypothesized that ambient demands would not have any effects on driving performance or physiological response, whereas the focal-side-task would cause a deterioration in driving performance and specific changes in physiological response. Support for these hypotheses would provide evidence that focal visual processing is attention demanding, whereas the processing of ambient visual information is not.Some results suggest that ambient visual information was processed pre-attentively, whereas focal visual information requires attentional resources to be processed. Driving performance deteriorated and changes in physiological response occurred when the focal side-task was added to driving, but not when the ambient side-task was added. However, we failed to see predicted changes in driving performance and physiological response as the demands of the focal and ambient components of the driving simulation varied. The results of the current study suggest that a differentiation in attention demands between focal and ambient vision does exist, but that further research is needed to better understand the nature and practical consequences of the differentiation.     

Self-perception of driving abilities in older age: A systematic review

Older adults have become the fastest growing age group worldwide and will continue to make up a more significant portion of the driving population. Given the increased potential for age-related perceptual, cognitive, and physical declines, it is important to understand the perception that older drivers have regarding their own driving abilities. This awareness often motivates their driving behavior and patterns.A systematic review was conducted to synthesize the literature regarding the self-perception of driving abilities in older age. The PRISMA method was used and 10 databases (SCOPUS, TRID, PsycINFO, AgeLine, Web of Science, Abstracts in Social Gerontology, Inspec, Compendex, PubMed, and Medline) were searched to identify relevant articles. A total of 25 articles met the search criteria and were included in the qualitative synthesis.Overall, methods used to assess self-perception of driving abilities in older adults vary considerably. Some studies employ only subjective questionnaires, while others administer questionnaires in addition to on-road driving or simulated evaluations. Nonetheless, the studies overwhelmingly report that older drivers tend to rate highly, and often overestimate, their driving abilities. They perceive their driving abilities to be better than themselves at a younger age, their cohorts, and all other drivers. However, more work is needed to develop improved subjective assessments that guide drivers in more accurately estimating their true driving abilities, as well as to compare subjective ratings to objective performance-based measures of driving abilities.This review may assist researchers in better understanding the characteristics that influence driving self-perception and may inform the development of interventional strategies that help older drivers to better calibrate how they perceive their driving.     

The ability to tickle oneself is associated with level of psychometric schizotypy in non-clinical individuals

A recent study (Lemaitre et al., 2016, Consciousness and Cognition, 41, 64–71) found that non-clinical individuals who scored highly on a psychometric scale of schizotypy were able to tickle themselves. The present study aimed to extend this finding by investigating whether the ability to tickle oneself was associated with level of psychometric schizotypy considered as a continuous variable. One hundred and eleven students completed the Schizotypal Personality Questionnaire (SPQ). A mechanical device delivered tactile stimulation to participants’ palms. The device was operated by the experimenter (External) or the participant (Self). Participants were asked to rate the intensity, ticklishness and pleasantness of the stimulation. A significant association was observed between participants’ tactile self-suppression (External minus Self) and their score on the SPQ. These results suggest that the ability to suppress the tactile consequences of self-generated movements varies across the general population, and maps directly onto the personality dimension of schizotypy.