Keiji Matsumoto
Papers
1
Total Citations
15
H-Index
1
About
Dr. Keiji Matsumoto has pioneered innovative approaches to subjective evaluation in psychological and affective engineering, with a particular focus on overcoming the limitations of traditional Likert scales. His landmark 2021 paper, “A New Method of Subjective Evaluation Using Visual Analog Scale for Small Sample Data Analysis,” introduced a robust alternative that addresses critical issues like central tendency bias and the inability to treat ordinal data as interval measures—a problem that has long constrained non-parametric analysis. By championing the Visual Analog Scale (VAS) for small sample studies, Matsumoto has provided researchers with a more sensitive and statistically powerful tool for capturing human perception, emotion, and experience. This work, garnering 15 citations, has already influenced fields ranging from user experience design to clinical psychology. Matsumoto’s contributions are particularly notable for bridging methodological rigor with practical applicability, enabling more accurate assessments in contexts where data is scarce. His ongoing research continues to refine subjective measurement techniques, making him a key figure in advancing how we quantify the unquantifiable in human-centered research.
Research Focus
Key Achievements
Top Papers
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