Xiayan Liao

Papers

Total Citations

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About

Xiayan Liao is a pioneering researcher at the intersection of artificial intelligence, digital media, and art education. Her work focuses on leveraging AI-driven robotics and simulation technologies to transform traditional art teaching methods, creating immersive, interactive learning environments. Her most-cited paper, "Digital media entertainment technology based on artificial intelligence robot in art teaching simulation" (2024), has garnered 20 citations, establishing her as an emerging voice in educational technology. Liao’s major contribution lies in developing AI-powered robotic systems that simulate real-time artistic feedback, enabling students to engage with digital media in novel, hands-on ways. By integrating entertainment technology with pedagogical frameworks, she addresses critical gaps in art instruction, making complex concepts accessible through adaptive, robot-assisted simulations. Her research not only enhances student creativity and technical skills but also sets a foundation for future AI applications in humanities education. Liao’s work is particularly notable for its interdisciplinary approach, bridging computer science, cognitive psychology, and art theory. As a rising scholar, her innovative methods are poised to influence curriculum design and inspire further exploration of AI’s role in creative learning.