Li Wen Chang
Papers
2
Total Citations
9
H-Index
2
About
Li Wen Chang is a researcher at the forefront of human-robot interaction (HRI), with a focus on enabling machines to perceive and respond to human social and emotional cues. Her work centers on developing integrated systems that allow robots to understand complex human behaviors, moving beyond simple command-based interactions. A key contribution is her pioneering approach to multi-person emotion recognition, where she proposed a "confidence fusion" method that allows a robot to simultaneously track multiple individuals, recognize their facial expressions, and infer the overall social atmosphere. This work, published in 2012, laid the groundwork for more natural and empathetic robotic companions. Chang has also advanced the field of age classification for HRI, developing appearance-based methods to estimate human age from facial images, which is critical for tailoring robot behavior to different user groups. While her citation counts (5 and 4) reflect the early-stage and specialized nature of her research, her contributions represent foundational steps toward socially aware robots capable of nuanced, real-time interaction with groups of people.
Research Focus
Key Achievements
Top Papers
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- 2