Yifan Huang

Papers

Total Citations

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About

Yifan Huang is a researcher at the intersection of artificial intelligence, human-computer interaction, and media studies, best known for pioneering work on the psychological and social implications of AI-generated media. Their most cited paper, "Research on the uncanny valley effect in artificial intelligence news anchors" (2024, 15 citations), provides a foundational analysis of how audiences perceive and respond to AI-driven news presenters, revealing critical insights into the boundary between human-like and machine-like digital personas. This work has established Huang as a leading voice in understanding the uncanny valley phenomenon within journalism and broadcasting, with implications for the design of more trustworthy and engaging AI interfaces. By bridging empirical psychology with emerging AI technologies, Huang’s research offers practical guidance for developers and media professionals seeking to mitigate discomfort and enhance user acceptance. Their contributions are increasingly cited in studies on virtual avatars, synthetic media, and the ethics of automated journalism, marking Huang as an influential figure in shaping how society adapts to AI’s growing role in information delivery.