Investigating the impact of interaction design characteristics on trust in automated vehicles

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-09-01 DOI:10.1016/j.trf.2025.103352

Yu Wu , Xiaoyu Yao , Fenghui Deng , Xiaofang Yuan

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引用次数: 0

Abstract

As the primary medium of communication between drivers and automated vehicles, human–machine interaction plays a critical role in shaping user trust. A comprehensive understanding of how cockpit design influences trust is essential for promoting public acceptance of automated driving technologies. This study aims to identify the potential factors influencing trust in automated vehicles and to explore how design characteristics affect trust, alongside the moderating effects of driver characteristics. Literature review and expert panel were conducted to identify relevant design and driver characteristics. An online survey yielded 437 valid responses. Confirmatory factor analysis (CFA) assessed the reliability and validity of the latent constructs. Structural equation modeling (SEM) examined the relationships between design characteristics and trust, while multigroup analysis (MGA) explored the moderating roles of driver characteristics. The results indicate that information design had the strongest positive effect on trust, with information style exerting the most influence, followed by information type and intensity. Interface design also significantly enhanced trust, particularly through interface layout, interface presentation, and interaction modality. Functional design showed no significant direct effect. The moderating effects of driver characteristics are particularly pronounced in the trust formation process associated with information design, whereas their influence on the relationship between interface design and trust appears comparatively limited. This study offers valuable insights and design implications for enhancing trust-oriented interaction in automated vehicles, thereby promoting public acceptance of automated driving technologies.

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研究交互设计特征对自动驾驶车辆信任的影响

人机交互作为驾驶员与自动驾驶汽车之间沟通的主要媒介，在塑造用户信任方面起着至关重要的作用。全面了解驾驶舱设计如何影响信任，对于促进公众接受自动驾驶技术至关重要。本研究旨在识别影响自动驾驶汽车信任的潜在因素，并探讨设计特征如何影响信任，以及驾驶员特征的调节作用。通过文献回顾和专家小组讨论来确定相关的设计和驱动特性。一项在线调查获得了437份有效回复。验证性因子分析（CFA）评估潜在构念的信度和效度。结构方程模型（SEM）考察了设计特征与信任之间的关系，多组分析（MGA）探讨了驾驶员特征的调节作用。结果表明，信息设计对信任的正向影响最大，其中信息风格的影响最大，其次是信息类型和信息强度。界面设计也显著增强了信任，特别是通过界面布局、界面表示和交互方式。功能设计无明显的直接影响。驾驶员特征的调节作用在信息设计相关的信任形成过程中尤为明显，而对界面设计与信任关系的影响相对有限。本研究为增强自动驾驶车辆中以信任为导向的互动提供了有价值的见解和设计启示，从而促进公众对自动驾驶技术的接受。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.