Information for intelligent measurement of psychological state coefficients

DOI: 10.31673/2412-9070.2025.061201

Abstract

The paper presents an information system for the intelligent measurement of psychological state coefficients that indicate the cause of the temporal dynamics of psychological states. The phases of intelligent measurement, a contextual diagram, and a structural-logical diagram of the system's functioning are provided. A two-level architecture is proposed based on the determination of primary psychological functional states and in-depth analysis of the psychophysiological state. In-depth analysis refines the measured values of primary psychological functional states obtained through video monitoring. The parametric-dynamic model for predicting the cause of the temporal dynamics of psychological states has been improved through a two-level correlation-regression analysis. The presented architecture and improved prediction model have made it possible to increase the accuracy of determining psychological coefficients by 8-10% while reducing the average probability of errors of the 1st and 2nd kind by 20% compared to the parametric-dynamic model before improvement and other similar models used in solving the problems addressed in this work. The intellectual measurement process takes into account the weighting coefficients of both the initial analysis and video monitoring. The measurement results are influenced by clarifying psycholinguistic tests. The accuracy of the intellectual measurement of psychological states is improved by identifying the probable causes of their temporal dynamics. The proposed information system is important for the development of information complexes to counter various types of insider attacks in the private and public sectors. The improved model is the basis for the further development of approaches to the intellectual measurement of psychological state coefficients in the direction of increasing their accuracy and speed of processing data that comes to the intellectual measurement system.

Keywords: information monitoring system; psychological coefficients; threat prediction; intelligent measurement; parametric-dynamic model.