Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
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Article Number | 07039 | |
Number of page(s) | 11 | |
Section | Psychology of Environmentally Responsible Behavior | |
DOI | https://doi.org/10.1051/e3sconf/202125807039 | |
Published online | 20 May 2021 |
Autotraining using sustainable digital technologies: myth or reality
Kazan Innovative University named after V.G. Timiryasov (IEML), 42, Moskovskaya str., 420111, Kazan, Russia,
* Corresponding author: 2592062@gmail.com
This study aimed to analyze the possibilities that modern digital technologies offer to the fields of health, psychotherapy, psychology and self-help. A review of various studies in the field of digital medicine with statistical data was conducted. The conclusions that researchers from different countries came to were similar: digital health applications are a practical solution that can be used to improve mental and psychological health. Moreover, digital psychotherapy can serve as a preventive tool to avert the development of mental disorders, increase the ability to deal with stress and mental problems, grow self-confidence, and more. The results of a study that was carried out using a Russian multimedia tool Master Kit are discussed. After using the program for three months, its users advanced in their ability to create an image of the desired outcome (a goal) and develop a plan to reach it. There is a noticeable difference in how goal-oriented the users became and their ability to independently self-train. Experimental data suggest that the tool can be effectively used to form and transform personal beliefs through a self-training format. More than half of the subjects talked about their satisfaction with the method, and more than one-quarter of them noted that their expectations from working with the program were fully satisfied.
© The Authors, published by EDP Sciences, 2021
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.
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