Fuxing Wang
Papers
1
Total Citations
6
H-Index
1
About
Fuxing Wang is a developmental psychologist whose research explores the intersection of children's social cognition and human-robot interaction. Her work investigates how young learners evaluate and trust information from non-human agents, particularly robots, and how appearance and emotional cues shape these judgments. In her highly cited 2024 study, "Does appearance affect children's selective trust in robots' social and emotional testimony?" (6 citations), Wang demonstrated that children's trust in robots is influenced by the robots' physical features, such as human-like appearance, and the type of testimony—social or emotional—being offered. This work contributes to understanding how children navigate an increasingly technological world, with implications for education, AI design, and developmental theory. Wang's research bridges cognitive development and robotics, offering insights into how children form selective trust based on agent characteristics. Her findings are foundational for designing trustworthy educational technologies and highlight the nuanced ways children integrate social cues from both human and non-human sources.
Research Focus
Key Achievements
Top Papers
- 1