When both human and machine drivers make mistakes: Whom to blame?

Zhai, Siming; Gao, Shan; Wang, Lin; Liu, Peng

doi:10.1016/j.tra.2023.103637

Cited by 6 publications

(1 citation statement)

References 54 publications

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“…To address liability concerns about autonomous vehicles, it becomes imperative to reformulate the liability structure to ascertain driver accountability. The current legal system places excessive responsibility on drivers, thereby impeding public acceptance and hindering AV development [70].…”

Section: Discussionmentioning

confidence: 99%

Key factors capturing the willingness to use automated vehicles for travel in China

Zhou,

Guo,

Shi

et al. 2024

PLoS ONE

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With the continuous advancement of technology, automated vehicle technology is progressively maturing. It is crucial to comprehend the factors influencing individuals’ intention to utilize automated vehicles. This study examined user willingness to adopt automated vehicles. By incorporating age and educational background as random parameters, an ordered Probit model with random parameters was constructed to analyze the influential factors affecting respondents’ adoption of automated vehicles. We devised and conducted an online questionnaire survey, yielding 2105 valid questionnaires. The findings reveal significant positive correlations between positive social trust, perceived ease of use, perceived usefulness, low levels of perceived risk, and the acceptance of automated vehicles. Additionally, our study identifies extraversion and openness as strong mediators in shaping individuals’ intentions to use automated vehicles. Furthermore, prior experience with assisted driving negatively impacts people’s inclination toward embracing automated vehicles. Our research also provides insights for promoting the adoption of automated vehicles: favorable media coverage and a reasonable division of responsibilities can enhance individuals’ intentions to adopt this technology.

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Section: Discussionmentioning

confidence: 99%