Modeling and analysis of autonomous technology acceptance considering age heterogeneity
(1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. School of Finance & Economics, Jiangsu University, Zhenjiang, Jiangsu 212013, China)
Abstract：To deeply analyze the public attitude towards autonomous technology and further implement the application, an extended model of autonomous technology acceptance for different age groups was constructed by introducing the theory of planned behavior. The structural equation model was used to comprehensively reveal the influence of autonomous technology acceptance on the age difference of mechanism. Taking Chinese urban residents as example, the analysis of autonomous technology acceptance was conducted. The results show that there are differences in the acceptance of autonomous technology and the influencing factors among different age groups. In addition to subjective norms, the acceptances of groups aged from 23 to 44 and from 45 to 60 are generally higher than that of group aged from 18 to 22, especially for attitude, perceived usefulness, perceived ease of use and intention. Not all psychological variables have significant influence on behavioral intention. The behavioral intentions of groups aged from 18 to 22 and from 45 to 60 are mainly affected by the perceived ease of use, while that of group aged from 23 to 44 is affected by the perceived usefulness and perceived ease of use.
