基于科学知识图谱的自动驾驶技术接受度研究综述

Research of acceptance of autonomous vehicles technology based on mapping knowledge domain

针对自动驾驶技术接受度问题,应用科学知识图谱,从文献数量年变化、国家合作、出版物期刊、影响因素以及数据分析方法,对自动驾驶技术接受度领域的研究发展进程与知识网络关系进行分析与可视化.结果表明:美国、德国、中国是该领域的主要贡献国家;安全性是影响公众接受度的首要因素,信任、态度、感知易用性、感知有用性和感知风险是影响自动驾驶技术接受度的关键心理因素;描述性统计与方差分析、回归分析、结构方程模型、Logit模型以及Probit模型是该领域的主要研究方法;现有研究的接受度理论模型的解释力度较低,同时对具有中国特色的自动驾驶技术接受度的影响因素仍需进一步探索;数据存在偏差以及是否将自动驾驶模拟体验融入研究等方面需进一步研究.

For the acceptance of autonomous vehicles technology, the mapping knowledge domain was applied to analyze and visualize the relationship between the research and development process and the knowledge network in the field of the acceptance of autonomous vehicles technology based on the annual trend of published literature, national cooperation network, publications and periodicals, acceptance behavior theory, influencing factors and data analysis methods. The results show that the United States, Germany and China are the major contributors to the field. The safety of autonomous vehicles technology is the primary affecting factor on public acceptance, and trust, attitude, perceived ease of use, perceived usefulness, perceived risk and social norms are the most important psychological influencing factors on the acceptance. Descriptive statistics and analysis of variance, regression analysis, factor analysis, structural equation model, Logit model and Probit model are the main research methods in the field. However, the existing theoretical models of acceptance of autonomous vehicles technology have low explanatory power, and the symbolic value and key psychological influencing factors on the acceptance of autonomous vehicles technology with Chinese characteristics should be further explored. The samples with deviation and the adding autonomous vehicles technology simulator should be further analyzed.