Shangen Wu

Papers

Total Citations

H-Index

About

Shangen Wu is a researcher focused on the intersection of human-robot interaction and affective computing, with a particular emphasis on how humanoid robots can convey emotions through non-verbal cues. His most cited work, "Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language" (2018), has garnered 13 citations, establishing a foundational understanding of how body language parameters—such as posture, gesture speed, and joint angles—influence the perception of robot emotions. Wu’s contributions lie in systematically identifying and quantifying these factors, providing a framework for designing more expressive and socially intuitive robots. This research has implications for improving human-robot communication in assistive, educational, and entertainment contexts. By bridging robotics and psychology, Wu’s work helps advance the development of robots that can engage users more naturally and empathetically. His findings serve as a valuable resource for engineers and designers aiming to enhance the emotional expressiveness of humanoid platforms, making him a notable contributor to the growing field of socially interactive robotics.