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OA
Analysis of human-machine collaborative perception navigation interaction mode based on knowledge transformation in complex fields
为深入探索多任务场景下人机协同感知的航行交互模式以及感知影响因素,该文融合复杂场域知识与知识转化的概念,对以飞行员为中心的航行感知全要素进行分析.在传统知识转化 SECI 模型的基础上,以飞行员作战知识的螺旋转化为关键要素,构建人机协同场景下涵盖"处理、输出、态势、感知"4 个场域的作战知识转化模型,剖析作战知识的显隐性转化机制,并运用层次分析法(AHP),解构获得相关感知因素的重要性程度.结果表明,知识转化中的内隐化阶段是飞行员在人机协同作战感知交互过程中的重要阶段,人机协同作战分工域应聚焦于飞行员对于战场信息的感知与处理,为未来战机座舱信息交互模式提供参考依据.
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.
王名珺;吴晓莉;晏彪
南京理工大学 设计艺术与传媒学院,江苏 南京 210094南京理工大学 设计艺术与传媒学院,江苏 南京 210094南京理工大学 设计艺术与传媒学院,江苏 南京 210094
军事科技
人机协同SECI模型知识转化以人为中心
human-machine collaborationSECI modelknowledge transformationhuman-centered
《南京理工大学学报(自然科学版)》 2026 (3)
295-303,9
江苏省自然科学基金(BK20221490)国家自然科学基金(52175469)江苏省研究生实践创新计划(SJCX23_0118)
评论