| Issue |
BIO Web Conf.
Volume 65, 2023
EBWFF 2023 - International Scientific Conference Ecological and Biological Well-Being of Flora and Fauna (Part 2)
|
|
|---|---|---|
| Article Number | 06002 | |
| Number of page(s) | 11 | |
| Section | Human Ecology and Family Sciences | |
| DOI | https://doi.org/10.1051/bioconf/20236506002 | |
| Published online | 04 September 2023 | |
Man in the field of virtual game reality: problems of self-identification and socialization as risks for the sustainable development of society
1 Don State Technical University, 344000 Rostov-on-Don, Russian Federation
2 V.I. Vernadsky Crimean Federal University, 295007 Simferopol, Russian Federation
* Corresponding author: yulya.selezneva@gmail.com
The article analyzes the features of the self-identification process in the modern informational world and describes the risks of the digital space. On the example of studying representatives of different age groups, the analysis of preferred computer games is carried out and the features of virtual computer game reality are described. The article substantiates the thesis that in a situation of ex-cessive enthusiasm for computer games the virtual reality of a computer game can be one of the factors in the transformation of the Self-image of an active user if there is an identification with the heroes of the game. The empirical results of studying the transformation of the self image of active users of computer games (using the example of junior schoolchildren) are given and destructive changes in the Self-image in a situation of excessive immersion in the field of virtual game reality are described (uncertainty in the descriptions of the physical self, weak reflection of one’s own emotional experiences and bodily sensations, unrealistic level of aspirations, inadequate self-esteem).
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.