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About

Jiguo Zhen is a researcher whose work lies at the intersection of human-robot interaction, multimodal communication, and assistive technology. His research focuses on enabling more natural and intuitive interactions between humans and robots, particularly through the integration of gesture and voice recognition systems. In his most-cited work (2011, 7 citations), Zhen proposed an interactive system where robots with facial expressions share object information using multimodal interaction, combining gesture recognition with spoken commands to create more fluid human-robot communication. He has also explored the critical role of cultural differences in robot interaction (2012, 3 citations), examining how Sino-Japanese cultural variations affect user engagement with home robots—a foundational contribution to cross-cultural robotics design. Additionally, Zhen developed an elderly people assistant system (2012, 2 citations) that leverages user modeling through robots and smartphones, collecting daily life data to construct personalized support systems for aging populations. His work demonstrates a consistent commitment to making robots more socially aware, culturally sensitive, and practically useful in everyday human environments.