Features of Modern Diagnostic Tools for Attention and the Level of Working Capacity of Drivers

97

Abstract

The achievement of the goals of the transport strategy of the Russian Federation, which assumes the realization of its transit potential within the framework of the Eurasian Economic Union, is inextricably linked with the development of diagnostic tools for the attention and working capacity of drivers to reduce the "weight" of the human factor in the accident. The purpose of the work is to review the features of modern tools of diagnosing attention and the level of drivers' working capacity. The results indicate that they are represented by two main groups. The first group is represented by diagnostic systems built into the car with unconfirmed validity, but with high manufacturability and efficiency. The second one is represented by means of psychophysiological diagnostics of the driver, which have high validity, but require significant financial costs, are characterized by low manufacturability and efficiency. The most promising are the systems for assessing the diagnosis of attention and level of working capacity in mobile applications for smartphones, as well as driver training systems based on virtual reality technology and high-tech means of recording attention indicators.

General Information

Keywords: working capacity diagnostic tools, systems for assessing attention and reaction speed, drivers, hazard perception training, testing in mobile applications

Journal rubric: Labour Psychology and Engineering Psychology

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2023120106

Received: 16.12.2022

Accepted:

For citation: Ermolaev V.V., Chetverikova A.I., Voroncova J., Nasonova D.K. Features of Modern Diagnostic Tools for Attention and the Level of Working Capacity of Drivers [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2023. Vol. 12, no. 1, pp. 56–66. DOI: 10.17759/jmfp.2023120106. (In Russ., аbstr. in Engl.)

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Information About the Authors

Viktor V. Ermolaev, PhD in Psychology, Associate Professor, Chair of Labor Psychology and Psychological Counseling, Moscow Pedagogical State University, Chief Executive Officer, LLC ALGA, Voronezh, Russia, Moscow, Russia, ORCID: https://orcid.org/0000-0002-9206-9261, e-mail: evv21@mail.ru

Alena I. Chetverikova, Quality Control Director, LLC Center of Innovative Technologies, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1172-1041, e-mail: alenachetverikova@yandex.ru

Julija Voroncova, Researcher, Functional State Diagnostic Methods Development Department, JSC NEUROCOM, Moscow, Russia, ORCID: https://orcid.org/0000-0003-0363-5741, e-mail: jl.voroncova@gmail.com

Daria K. Nasonova, Development Director, LLC Center of Innovative Technologies “Traffic Psychology and Sefety”, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8989-0940, e-mail: d.k.nasonova@gmail.com

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