Papers
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Total Citations
1
H-Index
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About
Juan Yin is a researcher whose work bridges artificial intelligence, landscape design, and human-robot interaction. His most recognized contribution, the 2024 paper "User entertainment experience analysis of artificial intelligence entertainment robots based on convolutional neural networks in park plant landscape design," explores how convolutional neural networks can enhance user engagement with AI-driven robots in natural settings. This study, which has garnered initial citations, reflects Yin’s focus on applying deep learning to optimize aesthetic and experiential outcomes in public spaces. By integrating computer vision with environmental design, he addresses the growing demand for intelligent, user-centered landscapes. His research demonstrates a novel intersection of technology and ecology, offering practical insights for smart city planning and recreational robotics. While early in its citation trajectory, this work signals a promising direction for human-centered AI applications in urban green spaces. Yin’s contributions are particularly relevant for students and researchers interested in the convergence of machine learning, environmental psychology, and interactive design, highlighting how neural networks can transform passive landscapes into responsive, entertaining environments.
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Top Papers
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