Cognitive bias analysis of young novice drivers’ observation abilities—A questionnaire-based study

Xiang, Wang; Liu, Xuemei; Peng, Qunjie; Xue, Qingwu; Hao, Wei; Yu, J.L.

doi:10.1371/journal.pone.0251195

Cited by 2 publications

(1 citation statement)

References 40 publications

(34 reference statements)

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“…Li et al used ANOVA to find that risk vigilance awareness was higher among older and long driving age drivers than younger and shorter driving age drivers in the trucking industry [73]. Xiang et al [74], and Liu et al [75] analyzed the cognitive bias analysis of perceived competence of drivers of different driving ages by using ANOVA and structural equation modeling (SEM) methods on questionnaire data.…”

Section: Driver Questionnaires and Analytical Methodsmentioning

confidence: 99%

Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study

Xiang,

Zhang,

Pan

et al. 2024

PLoS ONE

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Coping capacity is a key aspect of driver-vehicle interaction when drivers observe and make decisions, and is of great importance for drivers. However, different drivers have different self-cognition and assess their driving abilities differently, especially for novice drivers. Based on questionnaire data, this study has investigated the coping capacities of drivers in both static environments and dynamic environments. With the ANOVA analysis method and the structural equation model (SEM), this study has verified the effects of gender and driving factors (driving years, driving frequency, driving time) on drivers’ coping capacities based on drivers’ self-assessment scores and mutual assessment scores. Drivers’ self-assessment scores show significant effects of all factors on drivers’ coping capacities, and drivers’ mutual assessment scores show significant effects of all factors, excluding driving time, on drivers’ coping capacities. Also, it has been found that all drivers in the driving year group have cognitive biases. It seems that first-year drivers are always overconfident with their driving skills, while drivers with a driving experience of more than three years usually score driving skills of themselves and other drivers most conservatively. With increased exposure to various traffic conditions, experienced drivers are more aware of their limitations in dealing with complex traffic situations, while novice drivers do not know their lack of capability to properly respond to any unexpected situation they could encounter.

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Section: Driver Questionnaires and Analytical Methodsmentioning

confidence: 99%

Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study

Xiang,

Zhang,

Pan

et al. 2024

PLoS ONE

Self Cite

View full text Add to dashboard Cite

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The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving Simulator

et al. 2022

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Drivers collect information of road and traffic conditions through a visual search while driving to avoid any potential hazards they perceive. Novice drivers with lack of driving experience may be involved in a car accident as they misjudge the information obtained by insufficient visual search with a narrower field of vision than experienced drivers do. In this regard, the current study compared and identified the gap between novice and experienced drivers in regard to the information they obtained in a visual search of gaze movement and visual attention. A combination of a static analysis, based on the dwell time, fixation duration, the number of fixations and stationary gaze entropy in visual search, and a dynamic analysis using gaze transition entropy was applied. The static analysis on gaze indicated that the group of novice drivers showed a longer dwell time on the traffic lights, pedestrians, and passing vehicles, and a longer fixation duration on the navigation system and the dashboard than the experienced ones. Also, the novice had their eyes fixed on the area of interests straight ahead more frequently while driving at an intersection. In addition, the novice group demonstrated less information at 2.60 bits out of the maximum stationary gaze entropy of 3.32 bits that a driver can exhibit, which indicated that their gaze fixations were concentrated. Meanwhile, the experienced group displayed approx. 3.09 bits, showing that their gaze was not narrowed on a certain area of interests, but was relatively evenly distributed. The dynamic analysis results showed that the novice group conducted the most gaze transitions between traffic lights, pedestrians and passing vehicles, whereas experienced drivers displayed the most transitions between the right- and left-side mirrors, passing vehicles, pedestrians, and traffic lights to find more out about the surrounding traffic conditions. In addition, the experienced group (3.04 bits) showed a higher gaze transition entropy than the novice group (2.21 bits). This indicated that a larger entropy was required to understand the visual search data because visual search strategies changed depending on the situations.

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Cognitive bias analysis of young novice drivers’ observation abilities—A questionnaire-based study

Cited by 2 publications

References 40 publications

Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study

Analysis of coping capacities and cognitive biases of novice drivers—A questionnaire-based study

The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving Simulator

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