Xinxia Ke

Papers

Total Citations

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About

Xinxia Ke is a pioneering researcher at the intersection of digital entertainment, robotics, and sustainable design. Her work centers on integrating entertainment robots with advanced optimization algorithms to create immersive, eco-friendly virtual reality experiences, particularly in theme park greening. Her most-cited paper, "Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience" (2024), introduces a novel framework that uses genetic algorithms to optimize robot-assisted VR environments, enhancing both user engagement and environmental sustainability. This contribution has garnered 3 citations, marking early recognition of its potential to reshape how digital entertainment spaces are designed and experienced. Ke’s research uniquely bridges artificial intelligence, robotics, and landscape architecture, offering practical solutions for reducing the ecological footprint of theme parks while elevating visitor immersion. Her work is notable for its forward-thinking approach to "digital entertainment design experience," a field she helps define. As a rising voice in sustainable tech and entertainment innovation, Ke’s interdisciplinary methods inspire new pathways for creating greener, smarter recreational spaces.