Application of data analysis in autonomous driving technology acceptance studies

MingYang Deng; YuXi Guo; YingShi Guo; Xia Zhao

doi:10.1117/12.2626673

14 February 2022 Application of data analysis in autonomous driving technology acceptance studies

MingYang Deng, YuXi Guo, YingShi Guo, Xia Zhao

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121610L (2022) https://doi.org/10.1117/12.2626673
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

Autonomous driving technology is an important direction in vehicle engineering research, and acceptance, as a reflection of public attitudes toward vehicles, is the basis for promoting the marketing of the technology. The results of recent acceptance surveys have gradually decreased, and acceptance may be related to recent traffic accidents. To explore the influencing factors of declining acceptance, the authors introduced the safety risk factors of autonomous driving and proposed an improved model based on the combination of TPB and TAM for acceptance interpretation and prediction. By analyzing the model and data results statistically, it is verified that safety risk has an impact on acceptance and a more significant impact on actual behavior. It is concluded that people's misunderstanding of unreasonable factors or irrational factors about the safety of autonomous driving technology needs to be eliminated in order to improve public acceptance and promote the accelerated implementation of autonomous driving technology.

Citation Download Citation

MingYang Deng, YuXi Guo, YingShi Guo, and Xia Zhao "Application of data analysis in autonomous driving technology acceptance studies", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121610L (14 February 2022); https://doi.org/10.1117/12.2626673

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