With the increasing complexity of the air traffic environment and the increasing amount of civil aviation data and information, the aviation control control system is facing the problems of high cognitive load and time pressure, which, together with various external interferences, leads to long decision-making time and low operational efficiency of the controllers. In order to address this problem, this paper will be based on the intuitive perceptual interaction mechanism and its physiological basis in eye movement, and based on the relevant theories of metaphoric icon design, combined with current Based on the theory of metaphorical icon design and the current demand of aviation control system interface, this paper will screen and design 6 types of icons, respectively carry out questionnaires from subjective experience and physiological indexes, collect eye movement data to explore the metaphorical characteristics of different types of icons, and then organize and analyze the experimental data to come up with the principles of intuitive metaphorical icon design for human-machine interface of the aviation control control system. The aim is to provide control system human-computer interaction intuitive interface design that is more in line with the cognitive characteristics of the controllers, to improve the efficiency of human-computer interaction and control system responsiveness, to make accurate decisions in the most effective time, to achieve better control effects, and to provide data support and design ideas for the design of human-computer interaction intuitive metaphorical icons.