Chih‐Fu Wu
Papers
8
Total Citations
149
H-Index
5
About
Chih-Fu Wu is a human-robot interaction researcher whose work centers on the social dimensions of robotic design, particularly how robots' expressive qualities shape human perception and acceptance. Drawing on experimental and user-centered approaches, Wu has made significant contributions to understanding how multimodal design elements — including voice type, gesture, and visual cues such as head-light color — influence the way users perceive robot personality, trustworthiness, and competence across diverse application contexts. His most-cited work, "Effects of Different Types of Social Robot Voices on Affective Evaluations in Different Application Fields" (2020, 65 citations), established that vocal characteristics meaningfully shift users' emotional responses to robots depending on context, a finding extended through subsequent studies on combined voice and visual design. Wu's research consistently treats social robots as social actors rather than mere functional tools, exploring how interaction modes and human-robot relationships affect trust and acceptance — a timely contribution as robots enter workplaces and everyday environments. His portfolio also reflects methodological breadth, spanning early rehabilitation technology to contemporary humanoid robot studies. Together, Wu's body of work offers practical design guidance for researchers and engineers seeking to build more socially effective and user-accepted robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8PC-Based Rehabilitation System with Biofeedback3 citations · 2009