Guangyi Ai

Neusoft (China), Kyushu Institute of Technology, Institute of Technology of Cambodia

Papers

Total Citations

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About

Guangyi Ai is a pioneering researcher at the intersection of social robotics, human-robot interaction, and educational technology. Their work fundamentally explores how robots can serve as socially competent pedagogical assistants, with a particular focus on understanding and modeling learner attitudes and cognitive engagement. Ai’s most influential work, "Learner Attitudes Towards Humanoid Robot Tutoring Systems" (2019, 13 citations), introduced a novel dual-motivation framework that examines both cognitive and social drivers in robot-led teaching sessions, providing a critical lens for designing more effective educational robots. Earlier foundational research on adaptive and intuitive interactions (2015, 5 citations) proposed integrating social neuroscience principles into robotic assistants, offering a groundbreaking educational model that accounts for differences in social interaction and observation between typically developing children and those with autism spectrum disorder. Ai further advanced the field by developing methodological designs for combining human EEG data with behavioral analyses in real-world human-human and human-robot interactions (2019, 3 citations). Through this innovative, cross-disciplinary approach—bridging neuroscience, robotics, and education—Guangyi Ai has laid essential groundwork for creating robots that are not only intelligent but genuinely socially attuned, with lasting implications for assistive technology and inclusive education.