Yuki Yokoo
Papers
7
Total Citations
41
H-Index
4
About
Yuki Yokoo is a researcher specializing in human-robot interaction, surgical robotics, and cognitive neuroscience, with a particular focus on developing novel methods to quantitatively evaluate the intuitive operability of robotic surgical systems. At the heart of Yokoo's work lies a pioneering approach: using brain activity measurements to assess how naturally and effectively surgeons interact with robotic systems — a dimension of usability that traditional performance metrics simply cannot capture. Yokoo's most influential contributions, including "Intuitive Operability Evaluation of Robotic Surgery Using Brain Activity Measurement to Identify Hand-Eye Coordination" (2012, 11 citations) and its 2013 companion study (10 citations), established a compelling framework for linking neurological data to user experience in surgical robotics. By examining hand-eye coordination through the lens of cognitive science, Yokoo brought an interdisciplinary rigor to the field, informing better robot design from the user's perspective rather than purely mechanical performance standards. Across seven published works accumulating over 40 citations, Yokoo has consistently addressed the challenge of optimizing surgical robot configuration — including slave arm and endoscope placement — to minimize cognitive load and enhance immersive reality for operators. This body of work offers valuable insights for engineers and medical professionals alike seeking to design more intuitive, surgeon-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of Hand-Eye Coordination Based on Brain Activity8 citations · 2015
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