A Situation Awareness Model with Human-Machine Collaboration

To improve the understanding of battlefield situation, the mechanisms of human cognition, it is necessary to investigate the models and techniques associated with situation awareness. Based on a model with human-machine collaboration, the process completed by machine is discussed, while two mechanisms including attention mechanism and memory mechanism, and three methods are studied to realize situation awareness using mechine intelligence. The attention mechanism can be divided into purpose-drived and data-drived, while memory mechanism includes long-term memory and short-term memory. The three methods are situation awareness based on knowledge, the method on multi-level battlefield, and the method with hypothesis-testing. These approaches can contribute to achieving deeper understanding on the situation awareness, which can be helpful for the construction of command and control systems.