Coupling Analysis of the Factors Influencing the Man-Machine Efficacy Based on System Dynamics

The future intelligent cockpit's complex components make it challenging to evaluate the efficacy of man-machine cooperative tasks. This paper uses system dynamics and coupling theory to construct a system dynamics model and quantify the effects of equipment, human, and the environment to reveal the evolution law of man-machine efficacy. The coupling relationship and the factors influencing man-machine efficacy are first determined. The construction of the system dynamics model is the second step. Then, using the Delphi method, the expert weights and the improved interval-valued intuitionistic fuzzy—analytic hierarchy process method are combined to calculate the weights of each factor. The coupling degree of the factors is calculated using the coupling degree model and the N-K model. When the equations have been input, the simulations are then performed. The findings show that changes in the degree of coupling have the following effects: during the first seven units of time, the trend of the change in man-machine efficacy value is essentially flat, and from the seventh unit of time on, the change in man-machine efficacy value exhibits significant performance.