Open AccessTHE INFLUENCE OF DEPENDENCES OF PSYCHOPHYSIOLOGICAL CHARACTERISTICS OF DRIVERS
Author(s) -
Galina Rozum,
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Julia Pashkovskaia,
Katerina Ivanova,
Victor Șontea,
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AUTHOR_ID,
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Publication year - 2021
Publication title -
journal of engineering science
Language(s) - English
Resource type - Journals
eISSN - 2587-3482
pISSN - 2587-3474
DOI - 10.52326/jes.utm.2021.28(4).09
Subject(s) - correlation , pearson product moment correlation coefficient , relation (database) , correlation coefficient , perception , psychology , cognitive psychology , stability (learning theory) , psychophysiology , computer science , statistics , mathematics , data mining , machine learning , neuroscience , geometry
The article analyzes the "man-machine-environment" system in relation to the psychophysiological characteristics of the driver - "human operator". The methods of diagnosing the psychophysiological characteristics of drivers were analyzed. The dependencies between the parameters of psychophysiological characteristics were established: complex visual-motor reaction and emotional stability (Pearson correlation coefficient r = -0.7), as well as the correlation between emotional stability and the level of perception of speed and distance (r = 0.5). The psychophysiological characteristics at different stages of the driving experience were revealed and practical recommendations were formulated for their development.