THE “PRISM AND RAYS METHOD” FOR RESEARCHING SUBJECTIVIZATION OF PERCEPTION OF HUMAN-MACHINE INTERACTION OBJECTS

Authors

  • A. I. Pukach Lviv Polytechnic National University, Lviv, Ukraine
  • V. M. Teslyuk Lviv Polytechnic National University, Lviv, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2025-4-13

Keywords:

human-machine interaction, object of interaction, perception subjectivization, impact factors, automation, intellectualization

Abstract

Context. The task of representation formalizing as well as possibility of further research of the scientific and applied problem of perception subjectivization of the human-machine interaction objects by relevant interaction subjects, in the context of global problems of automation and intellectualization of the component processes and environments of human-machine interaction, is considered, investigated, and resolved in scope of current research. The object of research are processes of perception subjectivization of the human-machine interaction objects by relevant subjects of same interaction. The subject of research are methods and means of mathematical, computer, and simulation modeling. Objective – development of a method for researching the perception subjectivization of the human-machine interaction objects by relevant subjects of the same interaction.
Method. The development of the “prism and rays method” (author’s name of the method) is proposed and performed, which provides the possibility to resolve the scientific and applied problem of representation formalizing as well as possibility of further research into the processes of perception subjectivization of the human-machine interaction objects by relevant interaction subjects (of the same interaction).
Results. The results of the developed method – are corresponding models that represent and allow to investigate the researched processes of perception subjectivization of the human-machine interaction objects by relevant interaction subjects (of the same interaction). The developed method provides the possibility of both formalization as well as further interpretation and investigation of the researched processes of perception subjectivization of human-machine interaction objects. As a practical approbation, the developed method has been applied for synthesis of the basic model of perception subjectivization of the object of complex (comprehensive) support (one of the most highlighted examples of HMI/HCI) of software product(s), using the example case of an experimental task of estimating the approximate processing time of client request by the department of customer-and-technical support of the given software product.
Conclusions. The developed “prisms and rays method” solves the declared task of representation formalizing as well as possibility of further research of the scientific and applied problem of perception subjectivization of the human-machine interaction objects by relevant interaction subjects, in the context of global problems of automation and intellectualization of the component processes and environments of human-machine interaction. At the same time, the obtained results of experimental practical approbation of the developed method confirm its effectiveness and efficiency in the context of solving relevant practical applied tasks of the scientific and applied problem of human-machine interaction objects’ perception subjectivization.

Author Biographies

A. I. Pukach, Lviv Polytechnic National University, Lviv

PhD, Assistant of Automated Control Systems Department, Institute of Computer Sciences and Informational Technologies

V. M. Teslyuk, Lviv Polytechnic National University, Lviv

Dr. Sc., Professor, Head of Automated Control Systems Department, Institute of Computer Sciences and Informational Technologies

References

Lotze N. Human-Machine Interaction as a Complex Socio-Linguistic Practice, Voice Assistants in Private Homes, 2024, pp. 105–144. DOI:

1515/9783839472002-005

Jain N. The evolution of human-computer interaction in the AI era, International Journal of Research in Computer Applications and Information Technology, 2025, Vol. 8, Iss. 1, pp. 144–151. DOI: 10.34218/ijrcait_08_01_015

Solanes J. E., Gracia L., Valls Miro J. Advances in Human-Machine Interaction, Artificial Intelligence, and Robotics. Electronics, 2024, Vol. 13, Iss. 19, pp. 1–5. DOI: 10.3390/electronics13193856

Mai V., Savanevska N., Richert A. et al. Relationship building in human-machine interaction: A proof of concept on the influence of self-disclosure on rapport in chatbot coaching using psychophysiological measurements, Chatbot coaching, Hauptartikel, 2024, Vol. 16,

pp. 1–27. DOI: 10.25598/JKM/2024-16.2

Guo S. H. Ethnographic Research On Human-Computer Interaction Behavior In The Intelligent Era, World Journal of Management Science, 2024, Vol. 2, Iss. 3, pp. 57– 61. – DOI: 10.61784/wms3035

Guozhen Z. Human Ergonomics, The ECPH Encyclopedia of Psychology, 2024, pp. 1–4. DOI: 10.1007/978- 981-99-6000-2_774-1

Dangelmaier M., Hölzle K., Krieg S. et al. Probabilistic Human-Machine Cooperation In Product Personalization [Electronic resource], 11th International Conference on Customization and Personalization MCP 2024 The Power of Customization and Personalization in the Digital Age, 2024. pp. 97–101. Mode of access: https://mcpce.org/wp-content/uploads/2024/11/15_Dangelmaier.pdf (date of access: 01.07.2025). Title from screen.

Conati C. AI-Driven Personalization to Support HumanAI Collaboration, In Companion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS '24 Companion), 2024, pp. 5–6. – DOI: 10.1145/3660515.3661324

Verma A., Yadav C. S., Sharma N. et al. Emotional Intelligence in Machine Interaction, Advances in Computational Intelligence and Robotics, 2024, pp. 173–189. DOI: 10.4018/979-8-3693-6806-0.ch009

Lavrov E., Siryk O., Kirichenko I. et al. The Methodology of Managed Functional Networks for Organizing Effective and Adaptive Human-Machine Dialogue in Automated Systems [Electronic resource], International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, CEUR Workshop Proceedings, 2021, Vol. 3013, pp. 428–437. Mode of access: https://ceur-ws.org/Vol-3013/20210428.pdf (date of access: 01.07.2025). – Title from screen.

Adekola F., Folasade K., Olujimi A. et al. Digital Twin Technology: A Tool in Computer Engineering Task – A Review, American Journal of Computer Engineering, 2024, Vol. 12, Iss. 10, pp. 1–7. Mode of access: https://www.researchgate.net/publication/388955822_Digital_Twin_Technology_A_Tool_in_Computer_Engineering_Task_-A_Review (date of access: 01.07.2025). Title from screen.

Dingli A., Haddod F. Interacting with Intelligent Digital Twins, Lecture Notes in Computer Science, 2019, Vol. 11584, pp. 3–15. DOI: 10.1007/978-3-030-23541- 3_1

Hoque A., Munmun F. Y., Ifte S. I. et al. Human Perception Based on Textual Analysis, International Journal of Intelligent Systems and Applications, 2024, Vol. 16, Iss. 6, pp. 84–93. – DOI: 10.5815/ijisa.2024.06.05

Abdallah W., Harraf A., Mosusa O. et al. Investigating Factors Impacting Customer Acceptance of Artificial Intelligence Chatbot: Banking Sector of Kuwait, International Journal of Applied Research in Management and Economics, 2022, Vol. 5, Iss. 4, pp. 45–58. DOI:

33422/ijarme.v5i4.961

Abrahão S., Grundy J., Pezzè M.et al. Software Engineering by and for Humans in an AI Era, ACM Transactions on Software Engineering and Methodology, 2025, pp. 1–44. DOI: 10.1145/3715111

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Published

2025-12-24

How to Cite

Pukach, . A. I. ., & Teslyuk, V. M. . (2025). THE “PRISM AND RAYS METHOD” FOR RESEARCHING SUBJECTIVIZATION OF PERCEPTION OF HUMAN-MACHINE INTERACTION OBJECTS. Radio Electronics, Computer Science, Control, (4), 139–153. https://doi.org/10.15588/1607-3274-2025-4-13

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Section

Neuroinformatics and intelligent systems