Yukio Mori
Papers
2
Total Citations
10
H-Index
2
About
Yukio Mori is a pioneering researcher at the intersection of human-robot interaction and mental health technology. His work centers on understanding how communication robots influence human psychological states, with a particular focus on developing rigorous methodologies for subjective evaluation. Mori’s major contribution lies in his innovative application of the Visual Analog Scale (VAS) to quantify emotional responses during human-robot conversations. His 2017 study, “A Study on the Impression Received from the Response of a Communication Robot” (7 citations), demonstrated how robot interactions could potentially improve mental health by measuring users’ subjective experiences. Building on this, his 2018 paper “A Proposal for New Subjective Evaluation Analysis Method using the Visual Analog Scale” (3 citations) introduced a groundbreaking statistical framework that enables meaningful analysis even with small sample sizes—a common challenge in human-robot interaction studies. This method also features a novel visualization technique for overlaying experimental results, making complex emotional data more accessible. Though his citation counts are modest, Mori’s work represents a crucial step toward evidence-based mental health interventions using robotic technology, offering researchers a more precise toolkit for measuring the subtle, subjective impacts of human-machine interaction.
Research Focus
Key Achievements
Top Papers
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- 2