In this work we look at an element of smart cities, conditionally automated cars (SAE Level 3), investigating the factors influencing public acceptance in the United States. We apply an adaptation of the UTUAT2 model. Taking an experimental approach study 358 participants in the US were presented with a vignette outlining the L3 technology followed by a series of questions to capture their perceptions of conditionally automated cars. PLS-SEM was used to analyze the collected data. The results reveal that the acceptance of the technology, in order of decreasing importance, was determined by social influence, performance expectancy, hedonic motivation, facilitating conditions, and effort expectancy. Furthermore, hedonic motivation, social influence, facilitating conditions and effort expectancy all have a positive influence on the perception of how useful the technology is; facilitating conditions, hedonic motivation, and social influence all have a positive influence on effort expectancy; social influence and facilitating conditions positively influence hedonic motivation; and social influence positively influences facilitating conditions. A moderating effect for gender was found, with the effect of hedonic motivation influencing intention to adopt is more prominent for men.

翻译：本研究聚焦智慧城市要素之一——有条件自动驾驶汽车（SAE L3级），探讨影响美国公众接受度的关键因素。我们运用改进型UTAUT2模型开展实验，向358名美国参与者展示描述L3技术的场景案例，随后通过系列问卷采集其对有条件自动驾驶汽车的认知数据。采用偏最小二乘结构方程模型（PLS-SEM）分析数据，结果表明：按重要性递减排序，技术接受度由社会影响、绩效期望、享乐动机、便利条件和努力期望共同决定。其中，享乐动机、社会影响、便利条件及努力期望均对技术实用性感知产生正向影响；便利条件、享乐动机和社会影响正向影响努力期望；社会影响与便利条件正向影响享乐动机；社会影响亦正向影响便利条件。性别调节效应显著：享乐动机对男性采用意向的影响更为突出。