Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (10): 3313-3324.doi: 10.12305/j.issn.1001-506X.2025.10.18

• Systems Engineering • Previous Articles    

Tacit knowledge mining based on multi-channel interactive system of human-machine cooperative combat

Mingjun WANG1,2, Xiaoli WU1,2,*, Biao YAN1,2, Xinyue ZHANG1,2, Yuhan WU1,2   

  1. 1. School of Design Arts and Media,Nanjing University of Science and Technology,Nanjing 210094,China
    2. Key Laboratory of Ministry Industry and Information Technology for Language Information Processing and Applications,Nanjing 210094,China
  • Received:2024-06-17 Online:2025-10-25 Published:2025-10-23
  • Contact: Xiaoli WU

Abstract:

In the context of human-machine cooperative combat, a method for tacit knowledge mining is proposed aiming at optimizing interaction design problem through multi-channel interactive association tacit knowledge. Firstly, the operational process of typical human-machine cooperative combat tasks is analyzed, and a multi-channel interactive system of human-machine is designed by integrating multiple interaction channels such as vision, speech, and gestures. Secondly, based on the proposed system, a behavioral-cognitive graph model is constructed to analyze the association between key nodes in the cooperative task process. And eye-tracking data is employed to quantitatively assess the operator interactive behavior. Finally, physical quantities from graph theory are introduced to explicitly describe the tacit knowledge, demonstrating that the proposed method effectively integrates perceptual information. The proposed method provides a valuable reference for optimizing human-machine interactive patterns in multi-channel systems.

Key words: human-machine cooperative, multi-channel interaction, tacit knowledge, eye-tracking

CLC Number: 

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