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.
DU Juan
,
ZHANG Jingyi
,
HU Min
,
GAN Lining
. Literature Review on Human Factors Involved in
Intelligent Shield Construction[J]. Tunnel Construction, 2023
, 43(8)
: 1269
-1281
.
DOI: 10.3973/j.issn.2096-4498.2023.08.002
