Hurst Kristin F, Sintov Nicole D
School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, IL, United States.
School of Environment and Natural Resources, The Ohio State University, Columbus, OH, United States.
Front Psychol. 2022 Oct 20;13:976023. doi: 10.3389/fpsyg.2022.976023. eCollection 2022.
Compared to human-operated vehicles, autonomous vehicles (AVs) offer numerous potential benefits. However, public acceptance of AVs remains low. Using 4 studies, including 1 preregistered experiment (total = 3,937), the present research examines the role of trust in AV adoption decisions. Using the Trust-Confidence-Cooperation model as a conceptual framework, we evaluate whether perceived integrity of technology-a previously underexplored dimension of trust that refers to perceptions of the moral agency of a given technology-influences AV policy support and adoption intent. We find that perceived technology integrity predicts adoption intent for AVs and that messages that increase perceived integrity of AV technology result in greater AV adoption intent and policy support. This knowledge can be used to guide communication efforts aimed at increasing public trust in AVs, and ultimately enhance integration of AVs into transport systems.
与人工驾驶车辆相比，自动驾驶汽车具有众多潜在优势。然而，公众对自动驾驶汽车的接受度仍然较低。本研究通过4项研究，包括1项预注册实验（共计3937人），探讨了信任在自动驾驶汽车采用决策中的作用。以信任-信心-合作模型为概念框架，我们评估了技术感知完整性（信任的一个此前未被充分探索的维度，指对特定技术道德能动性的认知）是否会影响自动驾驶汽车政策支持度和采用意愿。我们发现，技术感知完整性能够预测自动驾驶汽车的采用意愿，并且增强自动驾驶汽车技术感知完整性的信息会带来更高的自动驾驶汽车采用意愿和政策支持度。这些知识可用于指导旨在增强公众对自动驾驶汽车信任的沟通工作，并最终促进自动驾驶汽车融入交通系统。
