Huiyue Wu

Papers

Total Citations

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About

Huiyue Wu is a leading researcher at the intersection of human-computer interaction, artificial intelligence, and media psychology. Their work primarily explores the psychological and perceptual impacts of AI-generated media, with a particular focus on the uncanny valley effect in digital human representations. Wu’s most-cited paper, "Research on the uncanny valley effect in artificial intelligence news anchors" (2024, 15 citations), provides groundbreaking insights into how audiences perceive and emotionally respond to AI-powered news presenters. This study systematically examines the subtle discomfort that arises when synthetic anchors approach—but do not fully achieve—human likeness, offering critical design guidelines for media organizations and AI developers. By bridging cognitive science with practical media applications, Wu’s research helps shape more effective and ethically sound AI communication tools. Their work has been recognized for its timely relevance as AI-generated content becomes increasingly prevalent in journalism and entertainment. Wu’s findings are essential for anyone designing or studying human-AI interaction, making them a key voice in understanding how technology reshapes our daily media experiences.