Abstract: Automated driving vehicles, as a critical domain in the technological revolution following the internet and smartphones, are helpful for industrialization in fostering and developing new quality productivity. And the role of public acceptance in this context is crucial. This study innovatively introduces "perceived risk, media influence, personal innovativeness, vehicle service level, service threshold, and social value" into an extended technology acceptance model to construct a theoretical model of public acceptance of automated driving vehicles. Leveraging first-hand data from 1178 social experiment survey questionnaires, the study employs a structural equation model to empirically explore the influencing mechanisms of the Chinese public's adoption of automated driving vehicles. The research results indicate that personal innovativeness, usage intention, and perceived risk directly influence the public's behavior in using automated driving vehicles, with the former two being positive influences and the latter a negative influence. Meanwhile, personal innovativeness and perceived risk also have indirect positive and negative effects, respectively, on the public's usage behavior. Perceived ease of use and perceived usefulness positively influence the public's intention to use autonomous driving vehicles, thus indirectly affecting their usage behavior positively. Service threshold, vehicle service level, and social value have indirect positive effects on the public's usage behavior through the mediating roles of perceived usefulness, perceived ease of use, and usage intention. Media influence positively affects perceived usefulness and negatively affects perceived risk, indirectly influencing the public's intention and behavior in using autonomous driving vehicles positively.