Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most highly anticipated technological advancements of our time, with potentially wide-ranging social implications in terms of driver/passenger safety, equity and environmental aspects. However, most consumers feel reluctant towards the adoption of AI-powered AVs. To analyse user acceptance of AI-powered AVs, we need to understand the related psychological, social and cognitive factors. To do so, we established a conceptual model based on the technology acceptance literature and considered how performance and effort expectancy, social recognition, hedonism technology security and privacy concerns influence both technology trust and user well-being as mediators that subsequently influence the behavioural intention of the use of AI-powered AVs. We used user innovativeness as a moderator, and we performed a survey in France. Our results from the structural equation modelling largely support the positive relationship between the behavioural intention to use AI-powered AVs and performance-/effort expectancy, social recognition, well-being, hedonism and technology trust, as well as security. On the other hand, privacy concerns negatively influence technology trust.

人工智能 (AI) 驱动的自动驾驶汽车 (AV) 是我们这个时代最受期待的技术进步之一，在驾驶员/乘客安全、公平和环境方面具有潜在的广泛社会影响。然而，大多数消费者不愿意采用人工智能驱动的自动驾驶汽车。要分析用户对 AI 驱动的 AV 的接受程度，我们需要了解相关的心理、社会和认知因素。为此，我们基于技术接受文献建立了一个概念模型，并考虑了性能和努力预期、社会认可、享乐主义技术安全和隐私问题如何作为中介影响技术信任和用户幸福感，进而影响用户的行为意图。使用人工智能驱动的 AV。我们使用用户创新作为主持人，我们在法国进行了一项调查。我们的结构方程建模结果在很大程度上支持使用人工智能自动驾驶的行为意图与绩效/努力预期、社会认可、幸福感、享乐主义和技术信任以及安全性之间的正相关关系。另一方面，隐私问题会对技术信任产生负面影响。