Hiroaki Nakagoe

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About

Hiroaki Nakagoe is a researcher whose work lies at the intersection of surgical robotics, human factors, and biomedical signal processing. His primary research focuses on evaluating and improving the human–machine interface in minimally invasive surgery, particularly by analyzing surgeons' physiological and cognitive states during robot-assisted procedures. In his highly cited 2007 study, Nakagoe pioneered a method to assess surgeon stress by measuring biomarkers such as cortisol, alpha-amylase, and total protein in saliva, alongside heart rate, while using surgical assistant robots. This work, with 13 citations, provided early, objective evidence of the cognitive load imposed by robotic systems. His 2008 investigation into how camera assistants determine zoom ratios in laparoscopic images—cited 11 times—further demonstrates his commitment to understanding and optimizing surgical team dynamics. By bridging engineering and clinical practice, Nakagoe’s contributions have laid groundwork for designing more intuitive, less stressful robotic surgical environments, directly impacting both surgeon well-being and patient safety.