Modeling and gender difference analysis of acceptance of autonomous driving technology

自动驾驶技术接受度建模与性别差异性分析

In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.

为深度解析性别异质群体对于自动驾驶技术的接受差异,融合技术接受模型和计划行为理论构建两性自动驾驶技术接受度多指标多因素模型,全面揭示主、客观因素作用下自动驾驶技术接受度影响机制的性别差异性.以中国城市居民为例,分析结果表明:不同性别群组中主、客观因素对自动驾驶技术接受度的影响机制存在差异.客观因素方面,年龄对女性的感知行为控制有显著负向影响,而对其感知易用性存在显著正向影响;月收入对男性的感知行为控制有显著性正向影响;受教育程度对男性的感知行为控制有显著正向影响,对女性的感知有用性有显著正向影响.主观因素方面,感知易用性对女性行为意向的影响作用最大,影响系数达到0.72,也是女性自动驾驶技术行为意向最显著且唯一的影响因素,而男性的行为意向影响路径较为复杂,不仅受到态度和感知有用性的显著正向联合作用,而且受到感知行为控制、主观规范和感知易用性的间接影响.