Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?

Wu, Min; Wang, Nanxi; Yuen, Kum Fai

doi:10.1016/j.techfore.2023.122384

Cited by 16 publications

(2 citation statements)

References 115 publications

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“…In studies on the willingness to use automated vehicles, most scholars have considered the impact of socio-demographic attributes on willingness to use, mainly: age, gender, education level, and driving experience [9,10,21,22]. Among the studies on age, some of them found that younger groups are more concerned about automated vehicles [23] and have a stronger willingness to use them [24,25].…”

Section: (1) Socio-demographic Attributes and Their Effectsmentioning

confidence: 99%

“…The main source of this uncertainty is popular psychology [8]. To better study the factors affecting this uncertainty, scholars analyzed and discussed the roles of perceived usefulness, perceived ease of use, and perceived risk [9]. In Tang et al's study [10], it is pointed out that information dissemination is also an important factor that cannot be ignored.…”

Section: Introductionmentioning

confidence: 99%

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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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