A model-based analysis of the complexity of collaborative command-and-control system

Zhen Liao; Shuang Liu; Zhizhong Li

doi:10.1117/12.2639581

27 June 2022 A model-based analysis of the complexity of collaborative command-and-control system

Zhen Liao, Shuang Liu, Zhizhong Li

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 1225305 (2022) https://doi.org/10.1117/12.2639581
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

Task, information, and social networks have become more and more complex in collaborative command-and-control environments. How to appropriately describe, characterize, and assess the complexity of a command-and-control system (CCS) is critical to improving its overall efficacy. This study initially offered several concepts of collaborative networks from the perspective of human-system integration (HSI), such as command and control support (such as command and control software, displays and controls, and communication equipment) and personnel (teams). We then constructed a theoretical framework covering the complexity of a collaborative CCS, model-based characterization, and feature measurement. The theoretical model results show that this framework is effective in improving human factors in the design and evaluation of a collaborative CCS.

Citation Download Citation

Zhen Liao, Shuang Liu, and Zhizhong Li "A model-based analysis of the complexity of collaborative command-and-control system", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 1225305 (27 June 2022); https://doi.org/10.1117/12.2639581

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