Abstract

Modern complex dynamic systems (transport, environmental, energy) contain a huge number of elements, which leads to many interactions between them. The consequence of this is an increase in the manifestation of the human factor in accidents and disasters. The developers of dynamic systems are little aware of the risks posed by the information and cognitive aspects of human-machine interaction. Engineering training takes place in a cer-tain separation from the human factor, does not contribute to the development of intuition, creative and critical thinking. Therefore, it is important to update the relations between disciplines on a multidisciplinary basis. When learning in the design of dynamic systems, it is necessary to take into account the risks that arise in unpredictable conditions, as well as special requirements for the psychophysiological state of a person and his admission to the performance of especially responsible work. The functioning of complex dynamic systems depends on the individ-ual characteristics of a person’s creative and critical thinking as their main element, which are formed during learning. Therefore, the human factors engineering focuses on how systems work in real conditions, with people who make mistakes. The information and cognitive aspects of human factor engineering play a key role in the safe-ty, reliability and efficiency of dynamic systems. For this, in the discipline "Human factors engineering" a unique combination of three basic ergonomic characteristics is implemented: (1) it uses the principles of a systematic ap-proach, (2) it focuses on the design of interactions and (3) it focuses on solving three closely related problems of physical, functional and information security. All this allows optimizing man-machine interaction even at the stage of designing dynamic systems. Therefore, the introduction of "Human factor engineering" will create the necessary basis for improving the quality of training of engineering specialists. Keywords: human factor, cognitive ergonomics, complex dynamic systems, human factors engineering, criti-cal thinking, structural patterns.

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