HMI SUBJECTS’ COMPATIBILITY DETERMINING METHOD, BASED ON THEIR PERCEPTION SUBJECTIVIZATION OF INTERACTION OBJECT
DOI:
https://doi.org/10.15588/1607-3274-2026-2-16Keywords:
HMI, subjects’ compatibility, polyfactor portrait, perception subjectivizationAbstract
Context. The research is devoted to solving the relevant scientific and applied problem of a background determining and identifying of the compatibility of HMI subjects based on irrational part of their interaction with HMI object(s). The object of research is a process of determining the compatibility of HMI subjects based on their perception subjectivization of HMI object. The subject of research are methods and means of artificial neural networks, computational intelligence, mathematical modeling, as well as computer programming. Objective. The goal of the work is the development of a HMI subjects’ compatibility determining method, based on their perception subjectivization of interaction object.
Method. A method for determining the compatibility of subjects of HMI has been developed, which is based on the analysis of subject’s polyfactor portraits of perception subjectivization of the object(s) of this interaction, and ensures the possibility of solving the declared scientific and applied problem. The peculiarity of the developed method consists in the application (in the scope of solving the declared problem) of polyfactor portraits representing the perception’s subjectivization of the object(s) of HMI – by the subjects of the same interaction, in order to identify the degree/level of compatibility of these subjects specifically in the context of the prism of subjectivization features of their personalized perception of the object(s) (or processes) within the framework of their joint and common HMI. The proposed method is based on the appropriate models, developed and presented in scope of this work, as well as on a specialized algorithm that provides the possibility of automation and software/computer modeling of researched processes.
Results. A basic mathematical model, a specialized algorithm, as well as a software model, have been developed and presented in scope of this research. Additionally, a practical approbation of the developed method has been carried out on the example of solving a relevant specific practical applied problem of identifying potentially interchangeable subjects of the researched HMI team, which confirms the effectiveness and efficiency of developed method in the context of solving relevant practical applied problems.
Conclusions. A method for determining the compatibility of HMI subjects based on their polyfactor portraits of interaction objects’ perception subjectivization has been developed, which provides the possibility of solving the relevant scientific and applied problem of determining and identifying the compatibility of HMI subjects, and provides possibility(-ies) for identifying the compatibility of HMI subjects precisely on the basis of their polyfactor portraits of perception subjectivization of the object(s) of this interaction, thereby ensuring the improvement of the qualitative and efficiency indicators of HMI teams due to the possibility of identifying, selecting and joining subjects with a common subjective vision and perception of the object(s) and/or processes of their joint HMI.
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