School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, China.
PLoS One. 2023 Mar 16;18(3):e0282915. doi: 10.1371/journal.pone.0282915. eCollection 2023.
As a currently emerging technology and an emerging intelligent mode of transport, autonomous vehicles (AVs) with lots of potential advantages need attention in terms of acceptability of their users. This research incorporates three psychological factors of perceived trust, perceived value, and perceived enjoyment into the technology acceptance model, and explores the influence of these factors on the potential use intention of AVs users. In this study, the questionnaire data from 232 participants were analysed, and the structural equation model test study model was adopted, and nine hypotheses proposed in this study were verified. The results show that perceived enjoyment, perceived trust, perceived usefulness, and attitude have a direct positive impact on users' usage intentions. Perceived value, perceived usefulness, and perceived ease of use have a direct positive impact on user attitudes. In addition, perceived ease of use has also been shown to directly affect perceived usefulness. This study constructs and demonstrates a model of autonomous vehicle acceptance. This model can be used for user acceptance research of unmanned vehicles. The research expands the theory of technology acceptance model and its applicable fields, and enriches the theory of user research on unmanned vehicles. This study provides predictors of AVs acceptance for AVs designers, automakers, automotive policy makers, and related practitioners. Help them make actionable autonomous vehicle-related decisions to promote high-acceptance autonomous vehicle design and user intent for autonomous vehicles.
作为一种新兴技术和新兴智能交通方式，自动驾驶汽车（AV）具有许多潜在优势，其用户的接受程度需要引起关注。本研究将感知信任、感知价值和感知享受这三个心理因素纳入技术接受模型，并探讨了这些因素对自动驾驶汽车用户潜在使用意图的影响。在这项研究中，对 232 名参与者的问卷调查数据进行了分析，并采用结构方程模型测试研究模型，验证了本研究提出的九个假设。结果表明，感知享受、感知信任、感知有用性和态度对用户的使用意图有直接的积极影响。感知价值、感知有用性和感知易用性对用户态度有直接的积极影响。此外，感知易用性也被证明对感知有用性有直接影响。本研究构建并验证了自动驾驶汽车接受度模型。该模型可用于无人驾驶车辆的用户接受度研究。该研究扩展了技术接受模型及其应用领域的理论，丰富了无人驾驶车辆用户研究理论。本研究为自动驾驶汽车设计师、汽车制造商、汽车政策制定者和相关从业者提供了自动驾驶汽车接受度的预测指标。帮助他们做出有关自动驾驶汽车的可行决策，以促进高接受度的自动驾驶汽车设计和用户对自动驾驶汽车的意图。
