Year: 2024
Type: article
Study design: Clinical Trial
Abstract: The article considers the results of the study of psychological preparation of students — extreme profile psychologists for situations of special risk through special organized training using virtual reality. Subjects: 38 students aged 20 to 24 years, including 29 females. The subjects were randomly divided into control and experimental groups. Research methods: method “Forecast”, method of differential diagnostics of depressive states by V.A. Zhmurov, method “Assessment of neuropsychic stress”, diagnostics of slowing down of biological aging using the program “Anti-aging XXI” (T.N. Berezina). Methods of mathematical statistics: calculation of descriptive statistics, calculation of the Mann-Whitney U criterion, calculation of the Spearman correlation coefficient. Methods of experimental influence: seven VR simulators of different influences (flight simulator, depth, altitude, speed, darkness, etc.). Results. There is a relationship between motivation for activity in extreme conditions and personal resources: a direct relationship with the “achievement” resource and an inverse relationship with the risk level. The VR training we developed actualizes these resources. Increased achievements are ensured by the fact that respondents successfully complete tasks in extreme situations simulated in VR. Risk reduction is ensured by adaptation to extreme situations during the training. After the training, the subjects of the experimental group showed a significant decrease in the level of depression and an increase in the motivational and emotional components of readiness for action in an extreme situation. Conclusion: to increase motivation for activity in an extreme environment, it is necessary to increase the “achievement” resource, and for the “risk” resource, it is necessary to achieve its replacement with a conscious attitude to the situation. Virtual reality technologies have proven their effectiveness in increasing personal resources and preparing psychology students for activity in extreme conditions.
Authors: T.N. Skorobogatova, A.D. Margolin
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Funder: Russian Science Foundation
Award: G8640088702
OpenAlex ID: W4406310342