Zhanming Chen

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About

Zhanming Chen is a researcher exploring the intersection of artificial intelligence and human-computer interaction, with a particular focus on the psychological and perceptual impacts of AI-driven media. Their most cited work, "Research on the uncanny valley effect in artificial intelligence news anchors" (2024), has garnered 15 citations, establishing a foundational understanding of how audiences respond to AI-generated presenters. Chen’s research delves into the uncanny valley phenomenon—where human-like AI entities evoke discomfort—applying it to the emerging field of AI news anchors. By identifying the specific visual and behavioral cues that trigger unease, Chen provides critical insights for designing more acceptable and effective AI communicators. This work bridges robotics, media studies, and cognitive psychology, offering practical guidance for developers and broadcasters. Chen’s contributions are particularly timely as AI-generated content becomes ubiquitous, helping to shape ethical and user-centered design standards. Their research not only advances theoretical knowledge but also informs real-world applications, making them a key voice in understanding how humans relate to increasingly lifelike AI.