Zhang Shengming
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zhang Shengming is a pioneering researcher at the intersection of human-robot interaction and affective computing, with a primary focus on how embodiment and interaction design shape emotional well-being. His most-cited work, an experimental study on affective robots for anxiety relief and emotional connection (2025, 3 citations), investigates how different robot forms—algorithm-driven agents versus human- or animal-controlled avatars—differentially impact users’ psychological responses. This research reveals that affective robots can elicit profound feelings of attachment and intimacy, offering a novel pathway for anxiety alleviation and enriched emotional experiences. By systematically comparing embodiment forms and interaction modes, Zhang provides critical insights for designing more effective therapeutic robots. Though early in his career, his work bridges robotics, psychology, and human-computer interaction, laying a foundation for future studies on emotionally resonant technology. His contributions are particularly notable for addressing the nuanced psychological effects of robot agency, a key factor in developing empathetic machines for mental health support.
Research Focus
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Top Papers
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