Xiang Wang, Qiu Yi, Xing Lu, He Yanjie
Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science and Technology, Changsha, 410114, China.
School of Automation, Central South University, Changsha, 410075, China.
Sci Rep. 2025 Jun 4;15(1):19687. doi: 10.1038/s41598-025-03352-6.
Active driving guidance functions are becoming increasingly prevalent in vehicles. In order to understand the demand characteristics, risk-benefit concerns and value judgments of different styles of drivers on active driving guidance, this paper focuses on the influence of driving style on the acceptance of active driving guidance. Based on the online questionnaire data, we use the extended model of technology acceptance and the concept of trust heuristic as the basic theory, divide the dimensions of driving styles, introduce the variables to measure acceptance, and construct a "driving style-active driving guidance acceptance" mental model by applying structural equation modeling (SEM).This model was constructed using SEM to clarify the association between different driving styles and the degree of acceptance of active driving guidance. The results showed that adventurous and angry drivers were significantly less receptive to active driving incentives; conservative drivers were significantly more receptive to active driving incentives; distracted drivers were more considerate of the conditions and popularity of active driving incentives; and anxious drivers were more sensitive to the perceived risk of active driving incentives and were less receptive to active driving incentives. The results of the study provide a basis for the development and promotion of new intelligent driving technologies such as active driving guidance.
主动驾驶引导功能在车辆中越来越普遍。为了了解不同驾驶风格的驾驶员对主动驾驶引导的需求特征、风险收益考量和价值判断，本文聚焦于驾驶风格对主动驾驶引导接受度的影响。基于在线问卷数据，我们以技术接受扩展模型和信任启发式概念为基础理论，划分驾驶风格维度，引入测量接受度的变量，并运用结构方程模型（SEM）构建“驾驶风格 - 主动驾驶引导接受度”心理模型。该模型通过结构方程模型构建，以阐明不同驾驶风格与主动驾驶引导接受程度之间的关联。结果显示，冒险型和愤怒型驾驶员对主动驾驶激励的接受度显著较低；保守型驾驶员对主动驾驶激励的接受度显著较高；注意力分散型驾驶员更会考虑主动驾驶激励的条件和普及程度；焦虑型驾驶员对主动驾驶激励的感知风险更为敏感，对主动驾驶激励的接受度较低。研究结果为主动驾驶引导等新型智能驾驶技术的开发和推广提供了依据。
