Papers
3
Total Citations
31
H-Index
2
About
Yucong Duan is a rising scholar at the intersection of artificial intelligence, service management, and autonomous systems. His primary research investigates how consumers perceive and respond to AI service failures, blending appraisal theory and social response theory to understand customer recovery expectations. In his highly cited 2023 work, Duan demonstrates that the type of AI failure—and how customers assess that failure—significantly shapes their willingness to engage in service recovery, with anthropomorphism playing a crucial moderating role. This paper has already garnered 24 citations, signaling strong interest in his framework for designing more resilient AI systems. Duan extends this line of inquiry in his 2025 study, exploring whether more human-like AI interfaces actually boost customer participation in recovery efforts. Beyond service contexts, Duan contributes to autonomous driving safety through novel visibility estimation and noise-distribution-based defogging techniques for LiDAR sensors, addressing critical challenges in adverse weather. His work bridges behavioral science and engineering, offering practical insights for developers and managers seeking to build trustworthy, failure-tolerant AI.
Research Focus
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