Ian Zhou
Papers
2
Total Citations
41
H-Index
2
About
Ian Zhou investigates the intersection of human-robot interaction and social communication, with a focus on how verbal and non-verbal cues shape perceptions of artificial agents. His most-cited work, "Talk to Me: Verbal Communication Improves Perceptions of Friendship and Social Presence in Human-Robot Interaction" (31 citations), demonstrates that spoken dialogue significantly enhances users’ sense of social connection and co-presence with robots, laying groundwork for more natural human-machine relationships. In a complementary study, "Comparing Ways to Trigger Migration Between a Robot and a Virtually Embodied Character" (10 citations), Zhou explores how agency and embodiment transitions affect user trust and engagement—a key challenge for hybrid physical-virtual systems. Though his citation counts are modest, his contributions are notable for their methodological rigor and practical relevance to social robotics, telepresence, and mixed-reality interfaces. Zhou’s work is particularly valuable for students and researchers designing empathetic, communicative agents, as it underscores the power of simple verbal interactions to foster perceived friendship and social presence—insights that continue to inform the development of more intuitive, socially aware robots.
Research Focus
Key Achievements
Top Papers
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