Xiaoshan Zhou

Papers

Total Citations

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About

Xiaoshan Zhou is an emerging researcher working at the dynamic intersection of robotics, artificial intelligence, and music education technology. Their work focuses on the development and application of socially interactive robots, with a particular emphasis on how intelligent systems can enhance human experiences in musical and educational contexts. Zhou's most recognized contribution, "Entertainment performance robots application in music network classroom based on speech sensor recognition and artificial intelligence," explores how AI-driven robots equipped with speech recognition capabilities can transform online music education — a timely and relevant pursuit in the era of digital learning. Complementing this, their research on social robots simulating user music interaction experiences demonstrates a thoughtful commitment to understanding how humans emotionally and practically engage with robotic systems. Together, these papers have garnered nearly 10 citations within their debut year of 2024, signaling promising early momentum in a rapidly evolving field. Zhou's work sits at a compelling frontier where human-computer interaction, sensor technology, and creative arts converge, making their research particularly valuable for educators, roboticists, and technologists seeking to humanize intelligent systems.