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Investigating the Impact Factors for Trust Analysis of Autonomous Vehicle

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HCI in Mobility, Transport, and Automotive Systems (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14732))

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Abstract

With the rapid development of new-generation information technology such as artificial intelligence, mobile Internet and big data, a new-generation intelligent transport system featuring automated driving will become a breakthrough in solving traffic problems. In the human-machine co-driving stage, people’s trust in the automated driving system is a key element that affects the efficiency of human-machine cooperation and driving safety in automated driving, and it is crucial for drivers to maintain the high level of trust in the automated driving vehicle for driving safety. In order to explore the influencing factors of mechanism of whether people trust self-driving vehicles, the relationship between human trust and self-driving systems is analysed based on trust composition and influencing factors. Firstly, the degree of influence on trust in self-driving cars was explored in terms of attitude, perceived usability, perceived ease of use, social influence, perceived intelligence, and behavioral intention; Secondly, the structural equation model was fit-tested using validated factor analysis with structural, convergent, and discriminant validity, and the standardized coefficients of the model fit and the influence degree of the individual variables were calculated; Lastly, the model results were analysed based on the path coefficients to derive the factors influencing human trust in autonomous driving systems. The results of this study found that perceived usability, social influence and perceived ease of use have a significant positive effect on trust in autonomous driving, which is 0.864, 0.807 and 0.613 respectively. Meanwhile, the social influence could not only affect trust in autonomous driving, but also influence behavioral intention.

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Authors and Affiliations

  1. College of Design and Innovation, Tongji University, No. 281, Fuxin Road, Shanghai, 200092, China

    Tianxiong Wang, Long Liu & Jing Chen

  2. School of Art, Anhui University, No. 111, Jiulong Road, Hefei, 230601, China

    Tianxiong Wang, Mengmeng Xu & Yuanyuan Wang

Authors
  1. Tianxiong Wang
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  2. Mengmeng Xu
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  3. Long Liu
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  4. Jing Chen
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  5. Yuanyuan Wang
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Correspondence to Long Liu .

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  1. Technische Universitat Ilmenau, Ilmenau, Germany

    Heidi Krömker

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Wang, T., Xu, M., Liu, L., Chen, J., Wang, Y. (2024). Investigating the Impact Factors for Trust Analysis of Autonomous Vehicle. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2024. Lecture Notes in Computer Science, vol 14732. Springer, Cham. https://doi.org/10.1007/978-3-031-60477-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-60477-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60476-8

  • Online ISBN: 978-3-031-60477-5

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