Papers
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Total Citations
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H-Index
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About
Liang Qiao is a researcher at the intersection of artificial intelligence, landscape design, and human-computer interaction. Their work focuses on leveraging deep learning techniques—particularly convolutional neural networks (CNNs)—to analyze and enhance user experiences in built environments. In their most notable study, "User entertainment experience analysis of artificial intelligence entertainment robots based on convolutional neural networks in park plant landscape design" (2024), Qiao pioneers a novel framework that integrates AI-driven entertainment robots into public green spaces, using CNN-based models to evaluate how landscape features influence visitor enjoyment. This research bridges computational aesthetics and environmental psychology, offering data-driven insights for designing more engaging, intelligent parks. With 1 citation to date, this early-career contribution signals growing interest in their interdisciplinary approach. Qiao’s work stands out for its practical application of AI to real-world leisure settings, demonstrating how machine learning can optimize not just efficiency but also human delight in natural landscapes. As smart cities evolve, Qiao’s research provides a blueprint for harmonizing technology with nature, making public spaces more responsive and enjoyable.
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