Exploration of driver stress when resuming control from highly automated driving in an emergency situation

Kerautret, Laora; Dabic, Stéphanie; Navarro, Jordan

doi:10.1016/j.trf.2023.01.016

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…Experience/training refers to the experience of drivers involved in the task and the safety training received [26]. Time is a crucial metric for assessing experience/training [65]. Additionally, it should be correlated and evaluated in conjunction with the safety skill proficiency of crane operators.…”

Section: Standard For Determining the Level Of Psfs In The Cab Of Tow...mentioning

confidence: 99%

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Si,

Niu

2024

Buildings

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With the advent of Industry 4.0, the prevalence of tower cranes equipped with hook visualization is increasing. However, the introduction of new interface management tasks has led to novel patterns of human errors for operators. The Simplified Plant Analysis Risk–Human Reliability Assessment (SPAR-H) method has emerged as a relevant approach for the prediction of human reliability in smart construction tower crane operations. However, the current SPAR-H method is only partially applicable and does not fully meet the requirements of this study. Initially, a text mining approach (TF-IDF-TruncatedSVD-ComplementNB) was employed to identify operator error-specific terms in tower crane operations. These terms were then correlated with the eight Performance Shaping Factors (PSFs) of the SPAR-H method, and corresponding failure modes and potential causes were determined from the literature. This ensured a more objective selection of influencing factors and PSFs during the stratification process, which was validated through questionnaire surveys. Furthermore, standards for SPAR-H PSF levels were established based on the characteristics of tower crane operators. Given the inherent complexity of relationships among SPAR-H PSFs, the DEMATEL-ANP method was applied. This involved analyzing logical interactions and causal relationships between first-level and second-level indicators of PSFs, obtaining weights, and integrating these with the SPAR-H method to determine human reliability. Finally, an analysis and validation were conducted using a case study of an accident involving a smart construction tower crane, confirming the subsequent reliability of operator actions. The result of the accident case study yielded a reliability measure of 4.2 × 10−5. These findings indicate that the evaluation process of this method aligns with scenarios encountered in smart construction tower crane operations.

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Section: Standard For Determining the Level Of Psfs In The Cab Of Tow...mentioning

confidence: 99%

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Si,

Niu

2024

Buildings

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“…To broaden the understanding of processes and behaviors in hazard anticipation and stress, we encourage future studies to use a similar methodology to explore other cues and road hazards. Previous studies have examined different hazardous situations using a similar methodology; however, they are still few in number 45 , 68 . We also encourage the exploration of cues, for example, by varying the duration of their presentation to drivers.…”

Section: Limitationsmentioning

confidence: 99%

Exploring hazard anticipation and stress while driving in light of defensive behavior theory

Kerautret

Dabic

Navarro

2023

Sci Rep

Self Cite

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In driving, poor hazard anticipation would provide drivers less time to prepare an appropriate response, increasing the urgency of the situation and generating more stress. Assuming this, the current study seeks to determine whether a predictable road hazard triggers hazard anticipation in drivers that can mitigate the ensuing stress response, and whether the stress response is influenced by driving experience. In a simulated road environment, a cue was used to trigger hazard anticipation, and a road hazard to induce a stress response. Heart rate, pupil diameter, driving speed, subjective stress, arousal, and negative emotions, were retrieved from 36 drivers who all faced the cue followed by the hazard (i.e. a predictable hazard), the cue only, and the hazard only. In the light of work on defensive behaviors, the findings indicate that a predictable hazard triggers hazard anticipation detectable via (1) freezing behavior—characterized by cardiac deceleration—(2) anticipatory pupil dilation and (3) anticipatory speed deceleration. The results also point to a beneficial role for hazard anticipation in reducing driver stress, as evidenced by reductions in peak heart rate levels, as well as in reported levels of stress and negative emotions. Finally, the findings showed an influence of driving experience on reported levels of stress. Overall, this study shows how previous work on defensive behaviors can be used to gain insight into the processes and driving behaviors involved in hazard anticipation and stress.

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“…Driver stress is transactional in nature, eliciting qualitatively different patterns of stress response, coping strategies, and driving performance [22][23][24][25]. In emergency situations, time constraints may result in perceptions that internal resources are insufficient to accomplish tasks effectively [26,27]. In complex driving situations, stress can reduce the driving ability of drivers who lack confidence [28][29][30].…”

Section: Introductionmentioning

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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Exploration of driver stress when resuming control from highly automated driving in an emergency situation

Cited by 10 publications

References 22 publications

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Exploring hazard anticipation and stress while driving in light of defensive behavior theory

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

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