Development of a Visual Analytic System for Baum Test Using Psychological Traits Dataset
Mikihiro Komoto, Kaho Takenouchi, Naohisa Sakamoto, Chieko Kato · 2025
We present a visual analytic system that can quantitatively can evaluate the tree images from the Baum test, which assesses psychological traits of subjects. The system quantifies the tree features in the images and creates an overview plot of the set of the tree images by using dimensionality reduction techniques. The system then identifies psychological traits by analyzing the formed clusters using numerical data obtained from additional psychological evaluations and statistical measures, and integrating these traits with the tree features. Experimental results demonstrate the effectiveness of the system in several cases. However, the system has some limitations, such as challenges in analyzing scenarios where statistically significant differences are not observed, and more detailed feature analysis of the tree images is required for complex psychological state analysis.