Shunji Mitsuyoshi

Papers

Total Citations

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About

Shunji Mitsuyoshi is a pioneering researcher at the intersection of affective computing, human-robot interaction, and adaptive machine learning. His work centers on developing emotionally intelligent systems—particularly welfare robots designed to support aging populations in an era of declining birthrates. Mitsuyoshi’s foundational 2004 paper, “Researches on the emotion measurement system” (7 citations), introduced frameworks for equipping robots with the sensibility needed to assist elderly individuals, addressing a critical societal challenge. He further advanced adaptive algorithms with his 2019 study, “A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps” (5 citations), which enables AI systems to dynamically learn and respond in changing environments—a key capability for autonomous care robots. Though his citation counts reflect a focused, emerging field, Mitsuyoshi’s contributions are notable for their human-centered vision: he bridges emotional measurement and machine learning to create robots that not only support physical needs but also respond to human emotional states. His work remains influential for researchers developing socially assistive technologies and adaptive AI for real-world, non-stationary environments.