Dongyuan Wu
Papers
2
Total Citations
55
H-Index
2
About
Dongyuan Wu is a rising scholar whose research lies at the intersection of human–AI interaction, consumer behavior, and technology adoption. Wu’s most significant contribution is the development of the **Capability–Personalization Framework**, a novel theoretical model that reconciles the long-standing debate between AI aversion and AI appreciation. By systematically analyzing when and why people prefer AI over humans—or vice versa—this framework accounts for both the perceived capability of AI and the degree of personalization it offers. Wu’s meta-analytic review, published in 2025, has already garnered **53 citations**, underscoring its timely impact on the field. This work, along with a 2024 companion piece, provides a comprehensive synthesis of decades of conflicting findings, offering a clear roadmap for future research and practical applications in AI design and deployment. Wu’s research is particularly valuable for students and practitioners seeking to understand the psychological and contextual factors that shape human responses to AI. With a growing citation record and a framework poised to influence both academic inquiry and industry practice, Dongyuan Wu is establishing a reputation as a key voice in the evolving discourse on human–AI collaboration.
Research Focus
Key Achievements
Top Papers
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- 2