Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production

Andrey Kirichek; Oleg Kiselevsky; Valeriy Spasennikov

doi:10.30987/2658-4026-2026-3-271-285

VAK Russia 2.3.4 UDC 004.8

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FEATURES OF HUMAN INTERACTION WITH ARTIFICIAL INTELLIGENCE IN MECHANICAL ENGINEERING PRODUCTION Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production

АА Аа

Published in Ergodesign · Volume 2026, Issue 3 · Pages 271–285 · Rubric: MANAGEMENT IN ORGANIZATIONAL SYSTEMS

DOI: https://doi.org/10.30987/2658-4026-2026-3-271-285

Received: 06.05.2026 Accepted: 28.05.2026 Published: 30.09.2026

Authors

Andrey Kirichek

ORCID Scopus SPIN

Oleg Kiselevsky

ORCID SPIN

Valeriy Spasennikov

ORCID Scopus ResearcherID SPIN

Andrey Kirichek

Academic degree: doctor of technical sciences

Science rang: professor

Bryansk State Technical University Professor, Pro-rector for Promising Development · Russian Federation · Bryansk

ORCID Scopus SPIN

Oleg Kiselevsky

Science rang: docent

Belarusian-Russian University Associate Professor · Mogilev

ORCID SPIN

Valeriy Spasennikov

Academic degree: doctor of psychological sciences

Science rang: professor

Bryansk State Technical University prof. · Department of Humanities and Social Disciplines · Bryansk

ORCID Scopus ResearcherID SPIN

ABSTRACT

The paper shows that using artificial intelligence in mechanical engineering covers the entire product life cycle, from conceptual design to maintaining the finished product. At a modern enterprise, artificial intelligence is involved at the stages of product design and development, during production process support, and in economic calculations aimed at optimizing logistics chains. It is substantiated that an applied production task of artificial intelligence is currently understood as maintaining the quality and reliability of the technological process, including the management of both tools and the actions of people involved in the production process. The paper identifies the ways of applying artificial intelligence in mechanical engineering production and defines the areas of personnel competence in the process of ergonomic support of developing and operating artificial intelligence systems at all stages of the life cycle. The authors conclude that productive interaction between human intelligence and artificial intelligence is possible in the mode of “hybrid intelligence.” New responsibilities of mechanical engineering specialists determined by the specifics of interaction with artificial intelligence are outlined.

KEYWORDS

artificial intelligence, organizational system, technical idea, hybrid intelligence, mechanical engineering production, ergonomics, big data, interaction, interface

1. Artamonov V.A., Artamonova E.V., Milakov A.S. Cognitivism as the basis of artificial intelligence. Science Management. Theory and Practice. 2024;6(2):35-45. DOIhttps://doi.org/10.19181/smtp.2024.6.2.3.

2. Boldachev A.V. Essay: myths and dead ends of artificial intelligence. Philosophical Problems of Information Technologies and Cyberspace. 2020;2(18):27-41. DOIhttps://doi.org/10.17726/philIT.2020.2.3.

3. Dzhyaloshinskiy I.M. Human cognitive processes and artificial intelligence in the context of digital civilization. Moscow: RPR Media; 2022. 583 p.

4. Zabegalin E.V. Question of justification of the term “military artificial intelligence”. Systems of Control, Communication, and Security. 2022;1:140-157. DOIhttps://doi.org/10.24412/2410-9916-2022-1-140-157.

5. Kiselevsky O.S. Interaction of artificial and natural intelligence in knowledge production management. In: Proceedings of the All-Russian Scientific and Practical Online Conference with International Participation on Intelligent Technologies in Ergodesign and Cognitive Sciences; 2025 Jun 10 – Jun 11; Bryansk; Bryansk: Bryansk State Technical University; 2025. p. 131-144.

6. Kiselevsky O. Innovatively active knowledge management. Science and Innovations. 2025;6(268):26-33. DOIhttps://doi.org/10.29235/1818-9857-2025-6-26-33.

7. Spasennikov V.V. Human factors in ergonomic research: past, present, future (theoretical review). Ergodesign. 2025;3(29):373-397. DOIhttps://doi.org/10.30987/2658-4026-2025-3-373-397.

8. Kiselevsky O, Kondrashov O. Ways to overcome the innovation barrier in the development of high technology. Science and Innovations. 2024;7(257):4-10. DOIhttps://doi.org/10.29235/1818-9857-2024-07-4-10.

9. Kirichek A.V., Barinov S.V., Yashin A.V., et al. Development and verification of material models in modelling of wave strain hardening and additive synthesis (3dmp) processes. Tractors and Agricultural Machinery. 2024;91(5):611-618. DOIhttps://doi.org/10.17816/0321-4443-637300.

10. Pliatsios D, Sarigiannidis P, Lagkas T, Sarigiannidis P. A Survey on SCADA systems: secure protocols, incidents, threats and tactics. IEEE Commun SurvTutor. 2020;22(3):1942-1976. DOIhttps://doi.org/10.1109/COMST.2020.2987688.

11. Yadav G. Architecture and security of scada systems: a review. Int J Crit Infrastruct Prot. 2021;34:100433. DOIhttps://doi.org/10.1016/j.ijcip.2021.100433.

12. Bazrov B.M., Serebrenny V.V., Kheifets M.L., et al. Prospects of design and application of mechatronic machine tool equipment in hybrid manufacturing. Mechanics of Machines, Mechanisms, and Materials. 2024;1(66):50-57. DOIhttps://doi.org/10.46864/1995-0470-2024-1-66-50-57.

13. Muftiev A.S., Vlasenko O.M. On the use of neural network technologies in the task of controlling the operation of the second lift station. In: Proceedings of the Department of Automation and Industrial Electronics of Russian State University named after A.N. Kosygin; 2025. Moscow: Russian State University named after A.N. Kosygin (Technologies. Design. Art); 2025. p. 78-83.

14. Zakharkina S.V., Vlasenko O.M., Kaznacheeva A.A. Methodology of construction of tensioning machine information-measuring system based on client-server technology. Proceedings of Higher Education Institutions. Textile Industry Technology. 2022;2(398):98-104. DOIhttps://doi.org/10.47367/0021-3497_2022_2_98.

15. Kondratenko S.V., Spasennikov V.V. Methods of analysis and modeling activities of operators in the process of ergonomic software development and operation of man-machine systems. Bulletin of Bryansk State Technical University. 2015;1(45):87-94.

16. Sergeev S.F. Methodology of immersive learning environment simulator design. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2011;1(71):109-114.

17. Borisov V.V., Khabarov A.R., Misnik A.E., et al. Ontology synthesis for decision support systems based on large language models. Software and Systems. 2025;2:197-209. DOIhttps://doi.org/10.15827/0236-235X.150.197-209.

18. Rogolev D.V., Golyas A.S., Mishchenko I.I. Application of computer vision and machine learning technologies for sign language recognition and translation. Belarusian-Russian University Bulletin. 2026;1(90):105-116. DOIhttps://doi.org/10.24412/2077-8481-2026-1-105-116.

19. Sergeev S.F., Kirpicheva A.I. Empathy in designing user interfaces for systems with artificial intelligence. In: Proceedings of the All-Russian Scientific and Practical Online Conference with International Participation on Intelligent Technologies in Ergodesign and Cognitive Sciences; 2025 Jun 10-11; Bryansk. Bryansk: Bryansk State Technical University; 2025. p. 216-222.

20. Fukuyama F. The end of history? Conflict after the Cold War. London: Routledge; 2015. p. 16-27.

21. Hochschild A.R. The managed heart: commercialization of human feeling. Berkeley: University of California Press; 1983. 327 p.

22. Bourdieu P. Ökonomisches Kapital, kulturelles Kapital, soziales Kapital. In: Soziale Ungleichheit (Capital Economique, Culturel et social). Soziale Welt Gottingen; 1983. p. 183-198.

23. Silva G.C., Airoldi M. Machine habitus: toward a sociology of algorithms. Tecnoscienza. 2022;13(1):148-152. DOIhttps://doi.org/10.1177/00943061231191421.

24. Maevsky O.V., Pisarev A.D., Busygin A.N., et al. Logical commutator and a storage device based on memristor cells for electrical circuits neuroprocessor. Tyumen State University Herald. Physical and Mathematical Modelling. Oil, Gas, Energy. 2016;2(4):100-111. DOIhttps://doi.org/10.21684/2411-7978-2016-2-4-100-111.

25. Kashevarova G.G. “Artificial intelligence,” or “logical discussions and reasonable solutions” in technical diagnostics of construction projects. Academia. Architecture and Construction. 2023;4:166-180. DOIhttps://doi.org/10.22337/2077-9038-2023-4-166-180.

26. Spasennikov V.V., Logvinov D.V. Ergonomic support for the development and application of full-cycle automated military command-and-control systems using artificial intelligence in Euro-Atlantic defense: a review of patent publications and open documents. Systems of Control, Communication, and Security. 2026;2:155-172. DOIhttps://doi.org/10.24412/2410-9916-2026-2-155-172.

JATS XML

Editor-in-chief

Valeriy Spasennikov

spas1956@mail.ru

Deputy chief editor

Aleksandr Kuz'menko

alex-rf-32@yandex.ru

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GOST

Kirichek A. V., Kiselevsky O. S., Spasennikov V. V. Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production // Ergodesign. 2026. no. 3. pp. 271-285. DOI: https://doi.org/10.30987/2658-4026-2026-3-271-285. (Date of access 02.10.2026).

MLA

Andrey Kirichek, Kiselevsky O. S., Spasennikov V. V.. "Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production." Ergodesign 2026.3 (2026): 271-285. DOI: https://doi.org/10.30987/2658-4026-2026-3-271-285.

APA

Kirichek A. V., Kiselevsky O. S., Spasennikov V. V. (2026). Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production. Ergodesign, 2026(3), 271-285. https://doi.org/10.30987/2658-4026-2026-3-271-285

Chicago

Andrey Kirichek, Kiselevsky O. S., Spasennikov V. V.. "Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production." Ergodesign 2026, no. 3 (2026): 271-285. https://doi.org/10.30987/2658-4026-2026-3-271-285.

WIKI

{{cite journal | author = Kirichek A. V., Kiselevsky O. S., Spasennikov V. V. | title = Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production | journal = Ergodesign | year = 2026 | volume = 2026 | issue = 3 | pages = 271-285 | doi = 10.30987/2658-4026-2026-3-271-285 }}

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FEATURES OF HUMAN INTERACTION WITH ARTIFICIAL INTELLIGENCE IN MECHANICAL ENGINEERING PRODUCTION Features of Human Interaction with Artificial Intelligence in Mechanical Engineering Production

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