Abstract
A new way, entropy-based human-machine interaction complexity (EHMIC), was proposed and verified by real cases. Reasonable suggestions to reduce human-machine interaction complexity were given. Digital HMIC was studied using information entropy, and the difference between human-machine interaction and traditional system was controlled by digitalization. Task logic complexity, operation step complexity, information complexity, and knowledge complexity was determined as the main measurement indexes of digital HMIC, and they were integrated into a comprehensive index called HMIC. The index weight adjustment model was then established using the entropy evaluation method, and the HMIC calculation model was obtained through the Euclidean norm. This model was used to analyze HMIC during emergency operations of steam generator tube ruptures (SGTR) in a digital nuclear power plant. The quantitative analysis results were in accordance with the actual field situations. Results showed that the proposed EHMIC could provide good guidance to the selection of digital human-machine interaction programs, reasonable operator time distribution, regulations, and interface design and optimization.
