Papers
13
Total Citations
355
H-Index
8
About
Fu Guo is a prominent researcher specializing in human-robot interaction, collaborative robotics, and neuroergonomics, whose work bridges engineering, cognitive science, and design psychology. With a body of research accumulating over 340 citations, Guo has made significant contributions to understanding how humans perceive, emotionally respond to, and ultimately trust robotic systems. His landmark literature review on collaborative robots (cobots) in manufacturing (2022, 157 citations) stands as a go-to reference for scholars and practitioners navigating the integration of robotics into industrial workflows. Equally notable is his sustained investigation into humanoid robot design, where he employs sophisticated psychophysiological tools — including EEG, pupillometry, eye-tracking, fNIRS, and ECG — to objectively measure users' neural and emotional responses to robot appearance, voice, facial features, and touch. Guo's research consistently pushes beyond self-reported data, grounding human-robot interaction science in measurable cerebral and physiological evidence. His explorations of multisensory integration, affective preference formation, and personality-driven trust dynamics reflect a holistic vision for designing robots that feel genuinely intuitive and emotionally resonant to users. For students entering robotics, HCI, or ergonomics, Guo's portfolio offers an invaluable methodological and conceptual foundation.
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