Yi‐Ju Yang
Papers
1
Total Citations
10
H-Index
1
About
Yi-Ju Yang is a pioneering researcher in human-robot interaction, with a focused expertise on enhancing collaboration through non-verbal emotional communication. Her most-cited work, "Improving Human-Robot Collaboration Efficiency and Robustness through Non-Verbal Emotional Communication" (2021, 10 citations), demonstrates how emotional expression can dramatically shorten social distance between humans and robots, improving both efficiency and robustness in collaborative tasks. Yang’s contributions address a critical gap in robotics: while verbal communication is well-studied, her research reveals that non-verbal emotional cues—such as gestures, facial expressions, or tone—can transform human-robot partnerships, making them more intuitive and resilient. By integrating emotional intelligence into robotic systems, she advances the field toward more natural, empathetic interactions. Her work has implications for manufacturing, healthcare, and service robotics, where trust and seamless cooperation are essential. Yang’s findings underscore the importance of affect in technology, positioning her as a key voice in the growing movement to humanize artificial agents. For students and researchers, her research offers a compelling roadmap for designing robots that not only perform tasks but also connect with people on a deeper, emotional level.
Research Focus
Key Achievements
Top Papers
- 1