Papers
1
Total Citations
15
H-Index
1
About
Kenji Moriya is a researcher whose work sits at the intersection of psychological measurement, affective engineering, and data analysis. His primary contributions focus on refining how subjective human experiences—particularly emotional and sensory responses—are quantified and interpreted. Moriya is best known for pioneering a novel method of subjective evaluation that leverages the Visual Analog Scale (VAS) for analyzing small sample data, a significant advancement over the traditional Likert Scale. His 2021 paper on this method, which has garnered 15 citations, directly addresses critical limitations of Likert-type scales, such as their susceptibility to central tendency bias and their questionable suitability for parametric analysis. By championing the VAS as a more sensitive and statistically robust alternative, Moriya has provided researchers in psychology, ergonomics, and user experience with a powerful tool for capturing nuanced human judgments. His work is particularly valuable in fields where data is scarce or costly to collect, enabling more reliable insights from limited participant pools. Through this methodological innovation, Moriya has made a lasting impact on how subjective data is gathered and analyzed.
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Top Papers
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