Yukari Nakatani

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About

Yukari Nakatani’s research sits at the fascinating intersection of human-robot interaction and affective computing, where she explores how subtle, involuntary physical expressions can make robots feel more lifelike and emotionally resonant. Her most cited work, the 2014 paper “Involuntary expression of embodied robot adopting goose bumps,” proposes that robots can convey internal states—such as fear or excitement—through involuntary cues like simulated goose bumps, moving beyond deliberate gestures to achieve deeper anthropomorphism. This innovative approach, which has garnered 5 citations, challenges conventional design by prioritizing unconscious, biological-like responses over programmed actions. Nakatani’s contributions extend to understanding how these micro-expressions influence human perception, trust, and emotional bonding with machines. Her work is notable for bridging robotics with psychophysiology, offering a novel framework for creating more intuitive and relatable social robots. For students and researchers, Nakatani’s research opens a compelling dialogue on how the smallest, most involuntary signals can transform human-robot relationships, making her a key voice in the evolution of emotionally intelligent embodied agents.