THE USE OF ARTIFICIAL INTELLIGENCE IN DEVELOPING AUTOGENIC TRAINING FOR PSYCHOPHYSIOLOGICAL STATE CORRECTION IN HIGH-RISK PROFESSIONALS TO PREVENT FUNCTIONAL IMPAIRMENTS

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Published: May 30, 2024

Abstract

The aim of the article is to assess the potential for implementing AI tools in the development of autogenic training programs aimed at correcting the psychophysical state of high-risk professionals prone to disorders leading to functional impairments. Research findings indicate that high-risk professions are associated with stress, high demands, and hazards that contribute to the development of psychophysical disorders, such as burnout and emotional exhaustion. Autogenic training is an effective self-regulation method that reduces stress and enhances overall well-being, becoming a key element in the prevention of burnout and emotional exhaustion. AI can be utilized to create personalized applications that provide interactive effects for sensations of warmth and heaviness, recording and playback of personalized affirmations, audio-visual effects to create a sensation of coolness, audio guides for the sensation of gravity, tools for deep relaxation, and musical accompaniments for music therapy.

How to Cite

Rode, A., & Rode, Y. (2024). THE USE OF ARTIFICIAL INTELLIGENCE IN DEVELOPING AUTOGENIC TRAINING FOR PSYCHOPHYSIOLOGICAL STATE CORRECTION IN HIGH-RISK PROFESSIONALS TO PREVENT FUNCTIONAL IMPAIRMENTS. Baltic Journal of Legal and Social Sciences, (2), 89-96. https://doi.org/10.30525/2592-8813-2024-2-12
Article views: 27 | PDF Downloads: 32

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Keywords

autogenic training, psychophysical disorders, high-risk professions, applications, artificial intelligence, correction programs

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