Makoto Miyakoshi

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About

Makoto Miyakoshi is a leading researcher at the intersection of human-computer interaction, neural engineering, and assistive robotics. His work focuses on understanding how brain activity and subjective experience shape the control of robotic systems, particularly through electromyographic (EMG) signals. Miyakoshi’s major contributions include demonstrating that electroencephalography (EEG) can objectively reflect user satisfaction during robot hand control—a finding with profound implications for designing more intuitive and responsive prosthetics. In his highly cited 2022 study (11 citations), he identified how time intervals and movement factors in robot control influence satisfaction, while his 2021 work (7 citations) revealed that brain activity mirrors subjective responses to delayed input in EMG-controlled robots. By bridging neural correlates with user experience, Miyakoshi has advanced the development of adaptive, user-centered robotic interfaces. His research not only enhances our understanding of human-robot interaction but also paves the way for more seamless, emotionally attuned assistive technologies, making him a key figure in the future of neurorehabilitation and human augmentation.