Exploration of the Relationships between Hazard Perception and Eye Movement for Young Drivers

Aiming at young drivers’ hazard perception (HP) and eye movement, a cross-sectional study was conducted in the city of Xi’an, China. 46 participants were recruited, and 35 traffic scenes were used to test drivers’ hazard perception and eye movement. The difference analysis and correlation analysis were carried out for the acquired data. The results suggest that some indices of hazard perception and eye movement are significantly correlated. A higher saccade speed is in the direction of higher hazardous scenes. Higher complex scenes result in smaller saccade angle. The number of hazards unidentified is negatively influenced by complexity degree and hazardous degree of traffic scenes, and similar associations are found between hazard identification time, complexity degree, and hazardous degree. The hazard identification time and the number of hazards slowly identified are positively affected by the number of fixations and the number of saccades. Meanwhile, differences in the hazardous degree evaluation, hazard identification time, number of hazards unidentified, number of fixations, and number of saccades are found in different types of traffic scenes. The results help us to improve the design of road and vehicle devices, as well as the assessment and enhancement of young drivers’ hazard perception skills.

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

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.

Perception of agroforestry adopter and non-adopter on volcano risk and hazard: a case in Mt. Merapi, Java, Indonesia

Rozaki Z, Rahmawati N, Wijaya O, Khoir IA, Senge M, Kamarudin MF. 2021. Perception of agroforestry adopter and non-adopter on volcano risk and hazard: a case in Mt. Merapi, Java, Indonesia. Biodiversitas 22: 3829-3837. Agroforestry is an agricultural system that many people use in mountainous areas. Some experts have proven that this system can become the mitigation strategy in volcano areas. This study analyzes the risk and hazard perception of agroforestry adopters and non-adopters in the Mt. Merapi prone area. 139 agroforestry adopters and 130 non-adopters were randomly taken from four different areas in Mt. Merapi. Results show that both adopters and non-adopters show different perceptions regarding hazards and risk. The effectiveness of agroforestry practice for mitigation strategies needs to be studied more. The awareness of hazards and risks in the Mt. Merapi prone area is essential to save more lives during the eruption. The challenge is how to persuade agroforestry adopters and non-adopters to flee when the big eruption comes. Even though they flee, they still insist on returning home to take care of their livestock, farm, and protect properties. Mitigation education is needed; also, the infrastructure is important in supporting the mitigation efforts.

Development and Evaluation of a Virtual Environment to Assess Cycling Hazard Perception Skills

Safe cycling requires situational awareness to identify and perceive hazards in the environment to react to and avoid dangerous situations. Concurrently, tending to external distractions leads to a failure to identify hazards or to respond appropriately in a time-constrained manner. Hazard perception training can enhance the ability to identify and react to potential dangers while cycling. Although cycling on the road in the presence of driving cars provides an excellent opportunity to develop and evaluate hazard perception skills, there are obvious ethical and practical risks, requiring extensive resources to facilitate safety, particularly when involving children. Therefore, we developed a Cycling and Hazard Perception virtual reality (VR) simulator (CHP-VR simulator) to create a safe environment where hazard perception can be evaluated and/or trained in a real-time setting. The player interacts in the virtual environment through a stationary bike, where sensors on the bike transfer the player’s position and actions (speed and road positioning) into the virtual environment. A VR headset provides a real-world experience for the player, and a procedural content generation (PCG) algorithm enables the generation of playable artifacts. Pilot data using experienced adult cyclists was collected to develop and evaluate the VR simulator through measuring gaze behavior, both in VR and in situ. A comparable scene (cycling past a parked bus) in VR and in situ was used. In this scenario, cyclists fixated 20% longer at the bus in VR compared to in situ. However, limited agreement identified that the mean differences fell within 95% confidence intervals. The observed differences were likely attributed to a lower number of concurrently appearing elements (i.e., cars) in the VR environment compared with in situ. Future work will explore feasibility testing in young children by increasing assets and incorporating a game scoring system to direct attention to overt and covert hazards.

Videogame road scenes to measure hazard perception on experienced drivers

Experienced drivers develop the hazard perception skills with the driving practice. Hazard perception can be estimated using various methodologies such as photos, videos, simulators, or driving tests. Videogames increasingly are offering more realistic environments, and they are less expensive than simulators. Therefore, the study aimed to analyze the hazard perception of experienced drivers using road scenes from videogames. This perception was compared to the objective one provided by iRAP. As a result, experienced drivers underestimate the real danger in the most dangerous places, and overestimate them in the least dangerous sites. Given the trend between these two perceptions, it calibrated a linear regression equation. Also, the differences between the types of drivers' licenses were found in the sample. The results may help to propose specific training plans for these drivers to adjust their hazard perception with the actual one.