KEYWORDS: Social networks, Control systems, Model-based design, Complex systems, Telecommunications, Cognition, Information operations, Social network analysis, Computational complexity theory, Stereoscopic human factors
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.
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