MODELING THE INFLUENCE OF VIRTUAL REALITY ON THE ADEQUACY OF PERCEPTION OF REALITY BY THE HUMAN NERVOUS SYSTEM

Abstract

Purpose. We have identified the impact of virtual reality (distorted or false information) on the human nervous system. Methodology and Approach. We use a mathematical model of an artificial neural network (ANN), built in the image and likeness of the human nervous system. To conduct a correct computer experiment, we selected: (1) the impact of the game system on the ANN, which provides a large amount of virtual information, and (2) the ANN was configured only for visual perception. Distorted (virtual) information is sent to the input of the pre-trained ANN, and the ANS is retrained taking into account the distorted information. After several sessions in the virtual reality environment of the ANN, the response of the ANN to the original actual reality is studied. A Python program has been developed to manage the ANS. Results. It is shown that the conducted model experiment on the effect of virtual reality on the ANN, previously trained on traditional objects of the surrounding reality, makes these objects either difficult to recognize or, in general, unrecognizable. Theoretical and Practical implications. A suitable computer model was built for the first time that allows one to study the effect of virtual reality on the human nervous system; it is shown for the first time quantitatively and qualitatively how virtual reality affects the ANN and, consequently, the human nervous system.