Human-Machine Function Allocation Strategy for Formation Decision-Making Tasks

With the development of technology, the application of manned/unmanned formation is becoming more widespread. When executing decision-making tasks, the officer has excessive work-load and slow speed. Therefore, there is an urgent need to develop human-machine function allocation strategies to improve decision-making efficiency. This study was based on the OODA loop theory and adopted the level of automation division method to set up multi-level schemes for four stages. Different schemes were combined to ensure that officer was in the loop. The strategies for completing decision-making tasks were generated, and a method for optimizing the human-machine function allocation strategy was established to achieve efficient decision-making in manned/unmanned formations.