Yang Shu

Papers

Total Citations

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About

Yang Shu is a pioneering researcher at the intersection of human-robot interaction and affective computing, with a primary focus on developing emotionally intelligent companion robots for children. Her most influential work introduces BabeBay, a groundbreaking companion robot that leverages multimodal affective computing to recognize and respond to children's emotional states in real time. By fusing verbal and nonverbal cues—including facial expressions, vocal tones, and body language—Shu's approach enables robots to adapt their behavior dynamically, creating more natural and empathetic interactions. Her 2019 paper on BabeBay has garnered 15 citations, while her foundational work on multimodal affective fusion for children's robots has received 5 citations, establishing her as a key contributor to socially assistive robotics. Shu's research addresses a critical gap in child-robot interaction: the need for context-aware, emotionally responsive systems that can support children's social and emotional development. Her innovative fusion model, which integrates both verbal and nonverbal information processing, sets a new standard for creating robots that are not just tools but genuine companions. Through her work, Shu is shaping the future of affective computing in educational and therapeutic settings, making robots more intuitive and beneficial for young users.