发表机构
Division of Applied Undergraduate Studies, New York University（纽约大学应用本科研究系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究公众对3级有条件自动驾驶汽车的接受度，通过L3Pilot全球用户接受度调查，利用基于UTAUT2的结构方程模型分析来自17个国家的数据，发现其接受度主要受绩效期望、社会影响和享乐动机驱动，而非人口特征等。
AI 中文摘要
本研究调查了公众对汽车工程师协会3级有条件自动驾驶汽车的接受度，这类汽车能在特定条件下自动驾驶，但需要人类驾驶员在需要时随时准备恢复控制。以往基于技术接受与使用统一理论2（UTAUT2）的研究主要聚焦于欧洲样本，尚不清楚更广泛世界区域的接受度是否受相同因素影响。本研究使用L3Pilot全球用户接受度调查填补这一知识空白。从18631名受访者的原始数据集中，最终分析样本包含来自非洲、亚洲、欧洲、北美和南美17个国家的18603名受访者。使用基于UTAUT2的结构方程模型分析数据，以检验绩效期望、努力期望、社会影响、便利条件和享乐动机如何影响使用3级汽车的意愿。模型显示出很强的解释力。在分析样本中，使用3级汽车的意愿主要由绩效期望、社会影响和享乐动机驱动。努力期望和便利条件也有贡献，但直接作用较小。年龄、性别和以往先进驾驶辅助系统经验在统计上显著，但预测能力相对较弱。总体而言，研究结果表明，3级自动驾驶汽车的接受度较少依赖人口特征或易用性担忧，更多取决于人们是否认为该技术有用、得到社会支持且使用愉快。
英文摘要
This study investigated the public acceptance of Society of Automotive Engineers Level 3 conditionally automated cars, which can self-drive under certain specified conditions but require the human driver to remain ready to resume control when requested. Previous Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)-based research has focused mainly on European samples, and so it is still unclear whether the same factors shape acceptance across broader world regions. This knowledge gap was addressed using the L3Pilot Global User Acceptance Survey. From an original dataset of 18,631 respondents, the final analytic sample comprised 18,603 respondents from 17 countries across Africa, Asia, Europe, North America, and South America. The data were analyzed using a UTAUT2-based structural equation model to examine how performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation shape the intention to use Level 3 cars. The model showed strong explanatory power. Across the analytic sample, the intention to use Level 3 cars was driven mainly by performance expectancy, social influence, and hedonic motivation. Effort expectancy and facilitating conditions also contributed, but they played smaller direct roles. Age, gender, and previous experience with advanced driver assistance systems were statistically significant, but comparatively weak predictors. Overall, the findings suggest that the acceptance of Level 3 automated cars depends less on demographic characteristics or ease-of-use concerns and more on whether people see the technology as useful, socially supported, and enjoyable to use.
