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Extreme Psychology and Personal Safety
2025. Vol. 2, no. 3, 112–132
doi:10.17759/epps.2025020307
ISSN: 3034-3666 (online)

Verum 1.0 hardware and software complex: the innovative tool for personnel selection and evaluation

 
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Abstract

Context and relevance. The relevance of the research is determined by the need to introduce innovative technologies into the processes of personnel assessment and selection in order to increase their effectiveness. Of particular importance is the introduction of technological solutions (artificial intelligence, computer psychodiagnostics, eye tracking), which not only optimize the selection processes, but also increase the reliability of the assessment of professional competencies and personal qualities of candidates. Modern conditions require an integrated approach combining traditional assessment methods with digital technologies to increase the effectiveness of personnel selection. Objective: development and validation of the Verum psychodiagnostic system, aimed at increasing the reliability of the assessment of personal characteristics and identifying distorted information while minimizing the psychological discomfort of respondents during testing. Hypothesis. The detection of intentional concealment of information by a person by registering the reactions of the pupils of the eyes with the VERUM-EYE tracker using an alternation of verification questions and questions of controlled lies is comparable in effectiveness to the detection of intentionally hidden information by registering KGR, FPG and breathing with a polygraph. Methods and materials. The VERUM-EYE eye tracker was used to register changes in the pupils, and the Diana-07 polygraph was used to record CGR, FPG, and respiration. Two hundred people participated in the study — employees of PJSC VSMPO-AVISMA and its subsidiaries undergoing routine testing, as well as candidates applying for employment with the company. Among them were 100 active employees (67 men and 33 women) and 100 candidates (61 men and 39 women), aged 25 to 60 years. Results. The hypothesis put forward about the ability of the Verum package to detect a deliberately hidden stimulus in the laboratory is confirmed.

General Information

Keywords: psychodiagnostics, eye tracking, assessment, professional selection, artificial intelligence

Journal rubric: Methodological Tools

Article type: scientific article

DOI: https://doi.org/10.17759/epps.2025020307

Received 06.05.2025

Revised 13.08.2025

Accepted

Published

For citation: Ulyanina, O.A., Lobov, A.A., Lukin, A.V., Utenkov, G.G., Dyachenko, P.A. (2025). Verum 1.0 hardware and software complex: the innovative tool for personnel selection and evaluation. Extreme Psychology and Personal Safety, 2(3), 112–132. (In Russ.). https://doi.org/10.17759/epps.2025020307

© Ulyanina O.A., Lobov A.A., Lukin A.V., Utenkov G.G., Dyachenko P.A., 2025

License: CC BY-NC 4.0

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Information About the Authors

Olga A. Ulyanina, Doctor of Psychology, Associate Professor, Head of the Federal Coordination Center for the Provision of Psychological Services in the Education System of the Russian Federation, Moscow State University of Psychology & Education, Corresponding member of the RAE, Chief Researcher of the Research Center, Academy of Management of the Ministry of Internal Affairs of Russia; Professor of Faculty of Social Sciences, School of Psychology at National Research University “Higher School of Economics”, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9300-4825, e-mail: ulyaninaoa@mgppu.ru

Andrey A. Lobov, Candidate of Science (Psychology), Security Specialist, Industrial Investments LLC, Moscow, Russian Federation, ORCID: https://orcid.org/0009-0000-3484-2175

Alexandr V. Lukin, Deputy General Director, Verum LLC, Russian Federation, ORCID: https://orcid.org/0009-0003-9713-5082, e-mail: al@verum.llc

Gennady G. Utenkov, Deputy General Director, Verum LLC, Moscow, Russian Federation, e-mail: gu@verum.llc

Pavel A. Dyachenko, General Director, Verum LLC, Moscow, Russian Federation, ORCID: https://orcid.org/0009-0004-8506-7307, e-mail: pd@verum.llc

Contribution of the authors

Ulyanina O.A. — the degree of scientific elaboration of the problem, conclusions and research prospects.

Lobov A.A. — application of statistical, mathematical and other methods for data analysis.

Lukin A.V. — conducting an experiment; data collection and analysis; visualization of research results.

Utenkov G.G. — development of research methodology, assistance in data collection.

Dyachenko P.A. — research ideas; annotation, writing and design of the manuscript.

All authors participated in the discussion of the results and approved the final version of the manuscript.

Conflict of interest

The authors declare no conflict of interest.

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