Development of a software system for assessing the impact of emotional state on intellectual abilities

The aim of this study is to develop and test a software tool based on artificial intelligence that can predict the intellectual (IQ) and emotional (EQ) components of an individual based on the analysis of text input behavior. The research was conducted among students aged 17 to 27 using an integrated approach that combined the collection of text typing behavior data, psychological assessments, and statistical analysis. Both classical psychological testing methods and machine learning technologies were used for data processing and predictive modeling. The practical results demonstrated that text input characteristics possess predictive value for certain indicators of intelligence and emotional intelligence. Specifically, typing speed, the number of errors, and their types correlated with particular emotional abilities. The study confirms the potential for developing new psychological assessment methods based on digital behavioral data, allowing for a rapid and objective evaluation of an individual's intellectual and emotional resources. This work represents a significant contribution to the interdisciplinary field between psychology and informatics.