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 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.

Authors

Institutions

Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/pacificvis64226.2025.00043
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kazuki TAKENOUCHI, Naohisa Sakamoto, Chieko Kato, Mikihiro Komoto
Advanced Decision-Making Techniques
article

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

Kazuki TAKENOUCHI, Naohisa Sakamoto, Chieko Kato, Mikihiro Komoto
article en

Abstract

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.

Toyo University (JP), Kobe University (JP)
Openalex Percentile: Top 80%
Advanced Decision-Making Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of a Visual Analytic System for Baum Test Using Psychological Traits Dataset — Kazuki TAKENOUCHI, Naohisa Sakamoto, et al. · (2025) | TGRS Research Map | TGRS