Kazuhiro Koshi
Papers
1
Total Citations
15
H-Index
1
About
Kazuhiro Koshi is a researcher in affective engineering and psychometrics, with a focus on improving subjective evaluation methods. His major contribution lies in developing and validating the Visual Analog Scale (VAS) as a robust alternative to the traditional Likert Scale, addressing critical issues such as central tendency bias and the limitations of non-parametric analysis in small sample studies. His 2021 paper, "A New Method of Subjective Evaluation Using Visual Analog Scale for Small Sample Data Analysis," has garnered 15 citations, reflecting its growing influence in psychological and engineering fields. Koshi’s work enables more precise and reliable measurement of subjective experiences, particularly in contexts where sample sizes are constrained. By bridging gaps between statistical rigor and practical application, he has provided researchers with a tool that enhances data quality in affective computing and human factors research. His achievements underscore a commitment to methodological innovation, making him a notable figure in advancing how subjective data is collected and interpreted.
Research Focus
Key Achievements
Top Papers
- 1