Jia Zhou
Papers
2
Total Citations
10
H-Index
2
About
Dr. Jia Zhou is a pioneering researcher at the intersection of human-robot interaction, intergenerational communication, and trust in automation. Her work fundamentally explores how social robots can bridge communication gaps between different age groups, particularly within family settings. In her highly influential 2017 study, "How to Enhance Intergenerational Communication? The Influence of Family Orientation and Generation When Using Social Robots as an Intermediary," Dr. Zhou demonstrated how family dynamics and generational perspectives shape the effectiveness of robots as communication intermediaries—a foundational contribution to the field of socially assistive robotics. More recently, her 2025 investigation into "How Transparency Shapes the Quality of Human-Robot Interaction" has advanced understanding of how robotic transparency affects user trust, perception, and cognitive workload, offering critical design guidelines for trustworthy autonomous systems. With her work accumulating citations across human-computer interaction and robotics communities, Dr. Zhou is recognized for translating complex social-psychological theories into practical frameworks for robot design. Her research not only informs the development of more intuitive and trustworthy robotic companions but also provides actionable insights for creating technologies that foster meaningful connections across generations.
Research Focus
Key Achievements
Top Papers
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- 2