Naofumi Nakaya
Papers
2
Total Citations
10
H-Index
2
About
Naofumi Nakaya is a researcher at the forefront of human-robot interaction and affective computing, with a specialized focus on how communication robots can influence human mental states. His work centers on developing and refining subjective evaluation methodologies to quantify psychological responses during human-robot conversations. Nakaya’s key contribution is the innovative application of the Visual Analog Scale (VAS) to measure subtle changes in a user’s mental status, moving beyond traditional binary or Likert-scale surveys. His most cited paper (2017, 7 citations) explores the potential of using robot-mediated dialogue for mental health improvement, demonstrating that even brief interactions can be systematically assessed for their emotional impact. In a subsequent methodological paper (2018, 3 citations), Nakaya proposed a novel statistical analysis framework for VAS data, enabling robust interpretation of small-sample experiments—a common challenge in human-robot interaction studies. By overlaying and visualizing subjective responses, his approach makes subtle affective patterns visible. Though early in his career, Nakaya’s work lays a critical foundation for evidence-based design of socially assistive robots, bridging the gap between subjective experience and quantitative analysis in mental health technology.
Research Focus
Key Achievements
Top Papers
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