Statistical Modeling for Perception of Images in Stereoscopic Displays

Most of the training processes in the stereoscopic displays are performed within the virtual reality environment. Perception analysis of virtual space and operator interaction with the objects being in this space plays a special role when designing and realizing virtual reality systems. The analysis of human factors with further synthesis of the required characteristics will allow providing an optimal way in efficient application of technical capabilities of the complex of virtual reality operational systems and individual operator’s peculiarities. In this paper, four main factors were studied to investigate their influence on the degree of efficiency of transfer and perception of information. The four main factors are: resolution, image form, operator’s interaction, and control method. A fractional factorial design was utilized to build the experiment. The data was analyzed, and a statistical model explaining the effect(s) of different parameters as well as their interaction, was obtained. It was clear that the 3-D image with high resolution would increase the efficiency of information perception.