Papers
1
Total Citations
12
H-Index
1
About
Liu Yang is an emerging researcher at the intersection of artificial intelligence, human-computer interaction, and creative arts, with a particular focus on how intelligent systems can augment and transform artistic expression. Their most notable work explores the integration of AI-driven dancing robots into choreographic processes, proposing innovative frameworks that combine biped-humanoid robot modeling with psychological construct theory and human-computer interaction principles. This interdisciplinary approach bridges the gap between computational intelligence and human creativity, offering new methodologies for understanding how machines can participate meaningfully in artistic performance and design. Published in 2022 and accumulating 12 citations, this research has begun attracting attention from both the robotics and performing arts communities, signaling its relevance across disciplinary boundaries. Liu Yang's work is particularly significant for its dual emphasis on technical modeling and psychological dimensions of human-robot collaboration, acknowledging that effective interaction requires not only engineering precision but also an understanding of human cognitive and emotional responses. Their contributions offer promising directions for researchers and practitioners interested in AI-assisted creativity, dance technology, and the evolving relationship between humans and intelligent machines.
Research Focus
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Top Papers
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