Construction of Psychological Factor Analysis Model of Painting Therapy for College Students’ Psychological Crisis Intervention

Due to the incomplete maturity of their minds, college students frequently become susceptible to psychological crises when confronted with unforeseen events or sustained pressures. These psychological issues not only impair students’ academic performance but also exert a profound influence on their physical and mental well-being, as well as their everyday activities. Consequently, this paper advocates for the establishment of a psychological factor analysis model that utilizes painting therapy for intervening in college students’ psychological crises. It entails constructing a two-dimensional vector of psychological data characteristics to measure the impact of both positive and negative psychology, thereby extracting distinctive psychological crisis traits among college students. By adhering to the principles of objectivity, comprehensiveness, dynamics and privacy protection, an evaluation index system tailored for college students’ psychological crises is established. Furthermore, the psychological factors inherent in painting therapy are analyzed, taking into account factors such as frame size, pen pressure, spatial arrangement and color choice. Employing the linear combination method, the psychological data weights are calculated, and the combination weight coefficients are analyzed to ascertain the correlation between diverse data points, thereby enabling the fusion processing of college students’ psychological crisis intervention data. Building upon this foundation, an analysis model is formulated to mirror the subconscious, emotional state and psychological defense mechanisms of the participants. Experimental results reveal that the emotional expression depth of the models analyzed through the psychological factors of painting therapy exceeds 95%. The correlation coefficients derived from the test samples within the experimental dataset are uniformly high, and the acceptance of painting therapy is notably high. These findings indicate that the proposed model possesses enhanced stability and can consistently evaluate the model’s status.