Lingyao Yuan
Papers
1
Total Citations
40
H-Index
1
About
Lingyao Yuan investigates the intersection of artificial intelligence and human-computer interaction, with a particular focus on how users perceive and engage with AI-driven agents. Her research explores the psychological and behavioral dimensions of trust, affinity, and preference for digital human agents (DHAs)—highly realistic, AI-powered avatars used in customer service and online interactions. In her highly cited 2024 study, "Less Artificial, More Intelligent," Yuan conducted four experiments demonstrating that while DHAs can enhance user trust and affinity compared to traditional chatbots, their effectiveness depends on nuanced factors like perceived authenticity and task context. This work has garnered 40 citations in under a year, reflecting its timely relevance as companies increasingly deploy AI agents. Yuan’s contributions extend to policy and practice, offering actionable insights for designing ethical, user-centered AI systems. Her research is shaping how we understand the delicate balance between human-like realism and artificial intelligence, making her a key voice in the evolving discourse on trustworthy AI.
Research Focus
Key Achievements
Top Papers
- 1