PRINCIPLES PSYCHOEMOTIONAL STATE RECOGNITION OF PERSON IN AUTOMATED CONTROL SYSTEMS

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O.V.Teplova
Federal State Budgetary Scientific Institution "Institute of Artificial Intelligence Problems" , Donetsk
Research interests: automation and control of technological processes and production, psychology.
O.A. Krivodubsky
Federal State Budgetary Scientific Institution "Institute of Artificial Intelligence Problems" , Donetsk
Research interests: automation and control of technological processes and production facilities.

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UDC 1.159.95
DOI 10.34757/2413-7383.2023.31.4.003
Language:Russian
b>Annotation: The article considers the classification of mental states and classifications of human emotional states. The interrelationships of mental states and the stress effect on each of them are analyzed. Selected the most important mental states for diagnosis in the event of a random nature deviations in the operation of an automated control system to accelerate the decision-making system. Keywords: automated control system, emergency, mental state, emotional state, classification.

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Issues: 4(31)'2023
Section: Informatics, Computer Engineering and Control
Cite: Teplova, O.V. PRINCIPLES PSYCHOEMOTIONAL STATE RECOGNITION OF PERSON IN AUTOMATED CONTROL SYSTEMS // O.V. Teplova, O.A. Krivodubsky // Проблемы искусственного интеллекта. - 2023. № 4 (31). - 20-28. - http://search.rads-doi.org/project/14374/object/210539 doi: 10.34757/2413-7383.2023.31.4.003

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