Development of a Visual Analytic System for Baum Test Using Psychological Traits Dataset

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 reduc...

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Bibliographic Details
Published inIEEE Pacific Visualization Symposium pp. 358 - 363
Main Authors Komoto, Mikihiro, Takenouchi, Kaho, Sakamoto, Naohisa, Kato, Chieko
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.04.2025
Subjects
Data visualization
Dimensionality reduction
Feature extraction
Koch's Baum test
Measurement
Mental disorders
Psychological data
Psychology
Visual analytics
Visualization
Visualization toolkits
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Summary: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.
ISSN:2165-8773
DOI:10.1109/PacificVis64226.2025.00043