Papers
5
Total Citations
90
H-Index
5
About
Zhihao Shen is a researcher specializing in human-robot interaction (HRI), with a particular focus on personality trait recognition and nonverbal communication analysis. His work addresses one of the central challenges in modern robotics: enabling robots to meaningfully understand and respond to the humans they interact with. Shen's most influential contribution, "Understanding Nonverbal Communication Cues of Human Personality Traits in Human-Robot Interaction" (2020, 40 citations), established a foundational framework for decoding users' personality traits through behavioral cues during social interactions. Building on this, his 2021 paper on multi-modal feature fusion (26 citations) advanced the field by combining multiple data streams — such as visual and gestural signals — to achieve richer, more accurate personality inference. His earlier work from 2019 laid the theoretical and technical groundwork for these innovations, introducing frameworks that allow robots to extract personality-relevant features in real time. Beyond recognition systems, Shen has also engaged with practical deployment through participatory design methodologies, as demonstrated in his work on the DarumaTO-3 social robot. With a growing citation record, his research is shaping how next-generation robots can be designed to foster more intuitive, personalized, and human-centered interactions.
Research Focus
Key Achievements
Top Papers
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- 3Inferring Human Personality Traits in Human-Robot Social Interaction8 citations · 2019
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- 5Participatory Design and Early Deployment of DarumaTO-3 Social Robot8 citations · 2022