Papers
1
Total Citations
6
H-Index
1
About
Wan Zhu is a rising researcher in human-robot interaction, with a focus on how social robots can be designed to enhance human experiences. Her work centers on the behavioral and physical aspects of robot design, particularly the concept of robot initiative-taking—how and when robots should take the lead in interactions to foster acceptance and engagement. In her most-cited paper, "Evaluating Human Impressions of an Initiative-taking Robot" (2022, 6 citations), Zhu investigates how users perceive robots that proactively initiate actions, offering critical insights for developing more intuitive and socially adept machines. While her citation count is still growing, her research addresses a foundational challenge in robotics: balancing autonomy with user comfort. Zhu’s contributions are particularly relevant for applications in healthcare, education, and service robotics, where effective human-robot collaboration is key. As the field of social robotics expands, her work on initiative-taking provides a valuable framework for designing robots that feel less like tools and more like partners, promising to shape future interactions between humans and intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1Evaluating Human Impressions of an Initiative-taking Robot6 citations · 2022