为提高盾构司机对智能盾构的接受度和适应性、实现人机协同，以智能化、人因工程和工程建造为主题进行关键词检索。通过文献分析软件VOSviewer对178篇文献的关键词进行共现分析，形成人机信任、人因风险和人因设计3个研究维度，并对3个主题下的文献进行综述； 通过对主题关键词的引用时间进行归纳总结，发现人机协同是人与智能施工机械交互的重要研究趋势。在此基础上得到智能盾构人因研究启示，根据实际项目数据分析发现，解释性是提高人对智能盾构接受度的关键，同时提出从完善人工作负荷测量、应用数字化技术等方面增强人的适应性；
从人机智能融合、人机功能分配、工作模式设计等方面实现人机协同。
To address the issues of acceptance, adaptability, and
humanmachine collaboration of shield tunneling drivers for intelligent
shield tunneling, research on the unification of three fields, namely
intelligence, human factors, and engineering construction, is summarized.
Moreover, the cooccurrence of certain keywords in 178
articles is analyzed using VOSviewer software, and three research dimensions,
namely trust in automation, risk related to human factors, and design
considering human factors, are identified. Based on the citation frequency of
the theme keywords, humanmachine collaboration is
identified as an important research trend in studying the interaction between
humans and intelligent construction machinery. On this basis, insights for
future research on human factors in intelligent shield tunneling are discussed.
Further, the key to improving operator acceptance of intelligent shield
tunneling machines is interpretability, as determined by analyzing data from
actual projects. Additionally, an analysis of practical project data reveals
the need to improve the adaptability of drivers by improving workload
determination and implementing digital technologies. Humanmachine collaboration can be achieved by integrating humanmachine intelligence, allocating humanmachine
functions, and designing different work modes.
