Abstract

The problem of the implementation of a preventive strategy in reducing the role of the human factor in the accident rate at hazardous production facilities through remote monitoring of the level of employee performance is considered. The purpose of the study is to establish the empirical validity of the method of operational remote measurement for the performance capacity level of employees with PsyFace smartphone application. The developed method of operational remote measurement of the PsyFace performance level is based on the modification of Landolt performance diagnostics method under adaptation of V.N. Sysoev. Statistical analysis of the data was carried out in the SPSS Statistics 23 program using the non-parametric r-Spearman rank correlation test. Sample: 256 professional drivers (male) aged 22 to 60 years. The PsyFace method has the necessary empirical validity for diagnosing such performance indicators as productivity, which determines the amount of information processed per unit of time (r = 0.376 at p  0.05), average accuracy, which determines the error-free performance of activities (r = 0.290 at p  0.05) and reliability, which determines the probability of maintaining a given performance for a given time (r = 0.284 at p  0.05). The PsyFace methodology has great practical potential for its application among employees of hazardous professions and industries and fully complies with the principles of a preventive response strategy to reduce the risks of the human factor, designated by the Russian Ministry of Labor the Russian Federation. The developed PsyFace methodology in a smartphone application can be used by the company management to ensure employee performance monitoring during a work shift, including remotely.

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