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Research on the Influencing Factors of Driver's Trust in Autonomous Driving System Chongqing Seres New Energy Vehicle Design Institute

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Wang, Caiyong, author.
Contributor:
Chen, Rong
He, Xingmiao
Li, Chuzhao
Tang, Yu
Conference Name:
SAE 2025 Intelligent and Connected Vehicles Symposium (2025-09-19 : Shanghai, China)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
Although autonomous driving system is being used more frequently, its widespread adoption is still in its infancy. As a result, drivers may perceive the autonomous driving system as unreliable, which hinders the spread of automated driving. The goal of this study is to investigate the major variables influencing drivers' trust in autonomous driving system. Significant positive correlations between the variables were found using the questionnaire survey, reliability validity test, and factor analysis of the questionnaire data. In order to measure the impact of system performance, user comprehension, system feedback mechanism, individual characteristics, and environmental factors on trust perception, a structural equation modeling (SEM) as an analytical tool. A total of 274 valid data were retained. By modeling and analyzing the recovered data, it showed that the fit are all in the acceptable range, the model construction is reasonable, and therefore the subsequent path analysis can be carried out. Results showed that system reliability, comprehension, system feedback, individual differences, and environmental factors all have a significant positive impact on trust. Specifically, system reliability is the cornerstone for building user trust, while user education is critical for improving understanding. In addition, an intuitive and easy-to-use user interface and timely and accurate system feedback play an important role in enhancing trust. Individual differences, including technology acceptance, risk appetite, and driving experience, are also important factors that influence trust. A multifaceted approach to enhancing trust is also put forth, which includes improving system performance, user education, interactive interface, individualized service delivery, and environmental adaption
Notes:
Vendor supplied data
Publisher Number:
2025-01-7344
Access Restriction:
Restricted for use by site license

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