Pages: 160-169 | DOI: 10.37724/RSU.2026.78.2.016 |
EDN: — | UDK: 159.923.2:004
Abstract This article presents a theoretical justification and empirical verification of the concept of hybrid anthropotechnical reality, “human — Artificial Intelligence — human,” as a form of socio-psychological interaction. It is shown that the inclusion of artificial intelligence (AI) in the structure of communication leads to a redistribution of cognitive functions between humans and AI technologies. The aim of this article is the theoretical justification and empirical verification of the concept of hybrid anthropotechnical reality “human — AI — human” as a form of socio-psychological interaction. The research objectives are to conduct a theoretical analysis of the transformation of the interaction structure in the context of AI implementation and to justify the transition from the “human — human” system to the new “human — AI — human,” to develop a concept of hybrid anthropotechnical reality by defining its structural levels and functional characteristics, to empirically assess the impact of AI use on the effectiveness and nature of social interaction, and to determine the role of the human subject’s position. The hypothesis is based on the proposition that the inclusion of AI technologies in the structure of interpersonal interaction leads to the formation of a new anthropotechnical toolset “human — AI — human”, manifested in a systemic increase in the effectiveness of interaction and a change in its communicative and behavioral characteristics in comparison with the “human — human” system; The effectiveness of the “human — AI — human” reality is determined by the activeposition of the individual. To verify the hypothesis, the following means were used: theoretical analysis, a laboratory experiment with an intergroup design (n = 60), expert assessment of the effectiveness of interaction, analysis of behavioral strategies (Thomas-Kilmann method), statistical data processing (Student’s t-test, Mann-Whitney U-test). The results of an empirical study show that the use of AI increases interaction efficiency by 25 %, reduces the time required to reach agreements, and shifts interaction strategies from competitive to cooperative. It was also found that interaction efficiency depends on the method of using AI technologies. Maximum performance is achieved through reflective interpretation of AI recommendations, while uncritical adherence to recommendations leads to a decrease in the quality of decisions. These results suggest that interaction with AI is an emerging form of social interaction, characterized by mediated communication and increased demands on human agency. The research prospects are related to the analysis of changes in socio-psychological processes in the interaction system “human — AI — human.” Of particular importance is the study of the formation of subjectivity and responsibility in mediated communication, as well as the identification of patterns of role distribution, influence, and cooperation in hybridanthropotechnical systems.
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