Naohisa Uesugi

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About

Naohisa Uesugi is a leading researcher in haptic feedback systems and human-machine interaction, with a particular focus on skill acquisition and assistive technologies. His work explores how tactile cues can enhance learning and performance in complex tasks, such as vehicle reverse parking, where he demonstrated that haptic assistance reduces cognitive load more effectively than conventional visual or auditory aids. This foundational study, with 26 citations, has influenced the design of driver-assistance systems by shifting emphasis from safety alone to user-centered learning. Uesugi’s contributions extend to evaluating haptic feedback not just for stability, but for its role in intuitive skill transfer, bridging robotics, cognitive science, and automotive engineering. His research is widely recognized for its practical implications in training simulators and autonomous vehicle interfaces, making him a key figure in advancing non-visual interaction paradigms. Through his work, Uesugi continues to shape how humans and machines collaborate, offering insights that inform both academic research and real-world applications in assistive driving and beyond.