Abstract
The article examines the issues of reliability of human-machine systems and modeling of human-machine interaction. The classification of models for describing human activity and its interaction with a machine is carried out. The advantages of functional networks for ergonomics are shown. The description of the mathematical apparatus of functional networks is given. The characteristics of the models for describing, evaluating and optimizing the algorithms of the human operator’s activity when they work with automation are given. Examples of models for control systems for complex objects of different types are given. A computer system for modeling and optimizing the activities of operators of control systems is described. The tasks are set for improving the theory and practice of functional networks, associated with the development of situational control models and intelligent analysis of data on the reliability of the human operator. The results will be useful for finding ergonomic reserves for increasing the reliability of automated systems.
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Acknowledgements
The authors dedicate this article to the memory of their teacher – the first president of the Soviet Ergonomic Association, Doctor of Technical Sciences, Professor Anatoly Ilyich Gubinsky (1931–1990, St. Petersburg, Russia), who was the founder of the scientific school «Efficiency, quality and reliability of man-machine systems» and who first formulated the ideas that formed the basis of our study.
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Lavrov, E. et al. (2021). Functional Networks for Modeling and Optimization Human-Machine Systems. In: Sumpor, D., Jambrošić, K., Jurčević Lulić, T., Milčić, D., Salopek Čubrić, I., Šabarić, I. (eds) Proceedings of the 8th International Ergonomics Conference. ERGONOMICS 2020. Advances in Intelligent Systems and Computing, vol 1313. Springer, Cham. https://doi.org/10.1007/978-3-030-66937-9_21
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