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2021 | OriginalPaper | Chapter

Functional Networks for Modeling and Optimization Human-Machine Systems

Authors : Evgeniy Lavrov, P. Paderno, O. Siryk, V. Kyzenko, S. Kosianchuk, N. Bondarenko, E. Burkov

Published in: Proceedings of the 8th International Ergonomics Conference

Publisher: Springer International Publishing

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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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Title: Functional Networks for Modeling and Optimization Human-Machine Systems
Authors: Evgeniy Lavrov
P. Paderno
O. Siryk
V. Kyzenko
S. Kosianchuk
N. Bondarenko
E. Burkov
Publisher: Springer International Publishing
Book: Proceedings of the 8th International Ergonomics Conference
Print ISBN: 978-3-030-66936-2

Electronic ISBN: 978-3-030-66937-9

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-66937-9_21

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