EPJ Web Conf.
Volume 248, 2021V International Conference “Modeling of Nonlinear Processes and Systems“ (MNPS-2020)
|Number of page(s)||4|
|Section||Mathematical Models in Economics, Social and Humanitarian Sciences|
|Published online||26 April 2021|
Designing an Expert System for Recognizing the Emotional State of an Enterprise Employee
Master’s student in the direction 09.04.01, Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
2 Ph.D. Associate Professor of Management and Informatics in Technical Systems, Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
Published online: 26 April 2021
The emotional state of an employee of any enterprise influences both the efficiency of work performance and the quality and stability of the final result. Management of production processes, taking into account the monitoring of the emotional state of the employee, is a rather urgent task that allows minimizing the risks of deviations from the specified level of product quality and production safety. However, the quality of the assessment of this influence is currently subjective and is based both on the personal opinion and competences of the expert conducting the monitoring, and on the tools used by him for assessing the emotional state. At the same time, the use of modern intelligent automated methods and tracking systems will reduce the distortion of expert judgment. Creation of an expert system for analyzing the emotional state of employees of an enterprise will make it possible to recognize the emotions of a particular employee with a fairly high degree of accuracy, accumulate a system of knowledge and generate analytical conclusions and predictions of behavior based on it, compile an emotional portfolio of each employee and draw conclusions about the ability to perform a certain type of work and current states. This paper presents the concept of an algorithm of an expert system (hereinafter referred to as ES), which is able, on the basis of the data obtained on the individual methods of non-verbal expression of an employee’s emotions, to assess the influence of his emotions on the quality of his work. The article reflects the results obtained in the framework of the implementation of the Agreement on research No. 05.601.21.0019 dated November 29, 2019.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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