开发行人对自动驾驶汽车初步信任的测量工具

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
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引用次数: 0

摘要

考虑到目前相当一部分行人接触自动驾驶汽车(AV)的机会有限,因此必须有一个可靠的工具来评估行人对自动驾驶汽车的初始信任度。通过对 436 名行人进行调查,本研究利用偏最小二乘结构方程模型(PLS-SEM)开发并验证了 PITQA(行人对自动驾驶汽车的初始信任度问卷)量表。所提出的量表对于监测信任度随时间的推移以及在设计过程中考虑与信任度相关的因素非常有价值。研究结果表明,七个关键构面对预测行人与自动驾驶汽车之间的初始信任度有显著作用。这些因素包括信任倾向、感知统计可靠性、可依赖性和能力、感知可预测性、熟悉程度、权威/颠覆、关爱/伤害以及神圣/堕落。这些都揭示了在行人-车辆情境中,个人的信任倾向、不同的信任/可信赖属性如何构成初始信任的不同方面。所开发的量表对于未来有关信任校准和专为弱势道路使用者量身定制的自动驾驶汽车设计的研究工作可能是一个有用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a measurement instrument for pedestrians’ initial trust in automated vehicles

Considering that a significant portion of the current pedestrian population has limited exposure to automated vehicles (AVs), it is crucial to have a reliable instrument for assessing pedestrians’ initial trust in AVs. Using a survey of 436 pedestrians, this study developed and validated a PITQA (Pedestrians’ Initial Trust Questionnaire for AVs) scale using partial least squares structural equation modeling (PLS-SEM). The proposed scale will be valuable in monitoring the progression of trust over time and considering trust-related factors during the design process. The results revealed that seven key constructs significantly contribute to predicting initial trust between pedestrians and AVs. These constructs include propensity to trust, perceived statistical reliability, dependability and competence, perceived predictability, familiarity, authority/subversion, care/harm, and sanctity/degradation. These shed light on how the trust propensity of individuals, different trust/trustworthiness attributes might constitute different aspects of initial trust in the pedestrian-AV context. The developed scale can be a potentially useful tool for future research endeavors concerning trust calibration and the design of AVs specifically tailored for vulnerable road users.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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