Olga Gofman1, Andrey Kuzmin2, Sergey Kovalchuk3 1 Saint Petersburg State University, 7/9 Universitetskaya emb., St. Petersburg 199034, Russian Federation
2 Saint Petersburg State University, 7/9 Universitetskaya emb., St. Petersburg 199034, Russian Federation
3 ITMO University, 197101, Saint Petersburg, Kronverkskiy av., 49. Despite the active introduction of artificial intelligence in various spheres of the economy at the moment there is a lack of developed methodological and conceptual foundations of decision support based on modeling of human-artificial intelligence interaction, which are important for symbiotic interaction “human — artificial intelligence”. Purpose. The aim of the paper is to consider the peculiarities of symbiotic interaction of two decision-making agents: human and artificial intelligence, as well as to describe the characteristics of the user, methodological aspects of human-centered design of decision support systems in professional activities. Method. A brief review of ideas regarding human decision making, modern decision support systems is given and a variant of modeling of human-artificial intelligence interaction is proposed. Current views on the problem of matching and interaction between agents are presented. On the basis of several available models (TAM, UTAUT, UTAUT2, TTF, IDT, IAAAM) a single frame of interaction between the user and artificial intelligence in the decision-making process is presented. Findings. Groups of user characteristics are identified: working (role, stage of professionalization and level of expertise, working context) and personal (cognitive, emotional and behavioral). It is assumed that, based on them, an intelligent agent can adapt the process of information interaction with the user according to the following characteristics. Implementation for practice. By doing so, we can expect to clarify responsibilities, increase trust and optimize the joint decision-making process by structuring and portraying the user. Thus, we can expect to clarify the boundaries of responsibility, increase trust and optimize the collaborative decision-making process through structuring and user portraiture. The results of the analysis can be used to further refine the interaction model, factor specification and modeling based on data from different professional domains

Citation: Gofman O., Kuzmin Andrey K. (2025) Simbioticheskoe vzaimodeystvie «chelovek — iskusstvennyy intellekt» v sistemakh podderzhki prinyatiya resheniy [Symbiotic human-artificial intelligence interaction in decision support systems]. Organizational Psychology, vol. 15, no 1, pp. 297-321 (in Russian)

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