Development of an algorithm for selecting visualization components of virtual training systems

The visualization subsystem in virtual simulators is one of the most important components, as it provides the necessary level of trainable immersion in virtual space. The choice of optimal visualization components is a non-trivial task solved on the basis of an expert approach, which allows for the possibility of errors both in the architecture of this subsystem and in the parameters. The paper proposes an algorithm for selecting visualization components for virtual training systems, based on correlation matrices for quantitative and qualitative evaluation of components. The values of the matrices were obtained on the basis of experimental studies and comparison of components on a set of typical simulators, which make it possible to evaluate the components according to the metrics of the quality of display, interaction, movement, and sound. The proposed approach allows to reduce the probability of errors in the synthesis of the visualization subsystem of virtual training systems.