Abstract: To address the issues of acceptance, adaptability, and humanmachine 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 cooccurrence 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, humanmachine 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. Humanmachine collaboration can be achieved by integrating humanmachine intelligence, allocating humanmachine functions, and designing different work modes.

Key words: intelligent shield, human factors, humanmachine collaboration, artificial intelligence