A Pilot Study on the Dynamics of Online Risk Assessment by the Passenger of a Self-driving Car Among Pedestrians

Petit, Jeffery; Charron, Camilo; Mars, Franck

doi:10.1007/978-3-030-50523-3_8

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…This method is similar to that used in studies regarding the perceived comfort of autonomous vehicle passengers conducted by Hartwich et al [23] and Telpaz et al [24]. Walker et al [25] and Petit et al [26,27] confirm that comparable devices are relevant for real-time assessments of interactions between pedestrians and autonomous vehicles.…”

Section: Risk Perception Measurementssupporting

confidence: 58%

“…A possible extension of this work would be to relate, for each crossing situation, the evolution over time of an objective risk indicator such as the TTI to the dynamics of subjective risk assessment (For a attempt at doing this, see [26]. A function that modulates the objective risk provided by the TTI according to the estimated subjective assessment could then be defined.…”

Section: Limitations and Perspectivesmentioning

confidence: 99%

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Subjective risk and associated electrodermal activity of a self-driving car passenger in an urban shared space

Petit,

Charron,

Mars

2023

PLoS ONE

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Shared spaces are urban areas without physical separation between motorised and non-motorised users. Previous research has suggested that it is difficult for users to appropriate these spaces and that the advent of self-driving cars could further complicate interactions. It is therefore important to study the perception of these spaces from the users’ perspectives to determine which conditions may promote their acceptance of the vehicles. This study investigates the perceived collision risk of a self-driving car’s passenger when pedestrians cross the vehicle’s path. The experiment was conducted with a driving simulator. Seven factors were manipulated to vary the dynamics of the crossing situations in order to analyse their influence on the passenger’s perception of collision risk. Two measures of perceived risk were obtained. A continuous subjective assessment, reflecting an explicit risk evaluation, was reported in real time by participants. On the other hand, their skin conductance responses, which reflects implicit information processing, were recorded. The relationship between the factors and the risk perception indicators was studied using Bayesian networks. The best Bayesian networks demonstrate that subjective collision risk assessments are primarily influenced by the factors that determine the relative positions of the vehicle and the pedestrian as well as the distance between them when they are in close proximity. The analysis further reveals that variations in skin conductance response indicators are more likely to be explained by variations in subjective assessments than by variations in the manipulated factors. These findings could benefit the development of self-driving navigation among pedestrians by improving understanding of the factors that influence passengers’ feelings.

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Section: Risk Perception Measurementssupporting

confidence: 58%

Section: Limitations and Perspectivesmentioning

confidence: 99%

Subjective risk and associated electrodermal activity of a self-driving car passenger in an urban shared space

Petit,

Charron,

Mars

2023

PLoS ONE

Self Cite

View full text Add to dashboard Cite

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Efficiency of Group Movement within Human Risk Perception

Matsubayashi,

Mochizuki,

Ninomiya

et al. 2024

Proceedings of the Human Factors and Ergonomics Society Annual

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A braking index that incorporates the risk perception of human drivers has been developed to estimate how many drivers would brake in a given situation. We used agent simulations to verify whether incorporating the braking index can improve the efficiency of the agents’ movement in the whole space. The completion time and the number of collisions were measured to compare the simple avoidance algorithm without the braking index and the proposed algorithm with it. While a simple avoidance algorithm showed a strong trade-off between the completion time and the number of collisions, the proposed algorithm resulted in an efficient movement with a shorter time and fewer collisions. More efficient movement could be achieved by incorporating human risk perception because the risk of collision with others was individually evaluated according to others’ position and direction, and only as much avoidance as necessary was performed.

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A Pilot Study on the Dynamics of Online Risk Assessment by the Passenger of a Self-driving Car Among Pedestrians

Cited by 2 publications

References 18 publications

Subjective risk and associated electrodermal activity of a self-driving car passenger in an urban shared space

Subjective risk and associated electrodermal activity of a self-driving car passenger in an urban shared space

Efficiency of Group Movement within Human Risk Perception

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