南京理工大学学报（自然科学版）2026，Vol.50Issue(3)：295-303,9.DOI:10.14177/j.cnki.32-1397n.2026.50.03.006
基于复杂场域知识转化的人机协同感知航行交互模式分析
Analysis of human-machine collaborative perception navigation interaction mode based on knowledge transformation in complex fields
摘要
Abstract
In order to explore the navigation interaction mode and the influencing factors of human-machine collaborative perception in multi-task scenarios,this paper fuses the concepts of complex field knowledge and knowledge transformation,to analyze the total elements of pilot-centered navigation perception.Based on the traditional SECI model of knowledge transformation,and taking the spiral transformation of pilots'combat knowledge as a key element,a combat knowledge transformation model encompassing four fields of"processing,output,situation,perception"is constructed within a human-machine collaborative scenario.The explicit-implicit transformation mechanism of combat knowledge is analysed,and the analytic hierarchy process(AHP)is employed to deconstruct and obtain the importance levels of relevant perception factors.The results show that the implicit stage in knowledge transformation is an important stage for pilots in the process of human-machine collaborative combat perception interaction and the division of labor in human-machine collaborative combat should focus on the perception and processing of battlefield information by pilots.The above research provides a reference for future aircraft cockpit information interaction mode.关键词
人机协同/SECI模型/知识转化/以人为中心Key words
human-machine collaboration/SECI model/knowledge transformation/human-centered分类
军事科技引用本文复制引用
王名珺,吴晓莉,晏彪..基于复杂场域知识转化的人机协同感知航行交互模式分析[J].南京理工大学学报（自然科学版）,2026,50(3):295-303,9.基金项目
江苏省自然科学基金(BK20221490) （BK20221490）
国家自然科学基金(52175469) （52175469）
江苏省研究生实践创新计划(SJCX23_0118) （SJCX23_0118）
