| Title |
Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience |
| ID_Doc |
62494 |
| Authors |
Huang, Y; Ke, XX; Jiang, YL |
| Title |
Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience |
| Year |
2025 |
| Published |
|
| DOI |
10.1016/j.entcom.2024.100840 |
| Abstract |
Theme parks should provide attractive green design and digital interactive experiences to attract tourists and improve their satisfaction. Therefore, this study aims to achieve a digital interactive experience in theme park greening design through the use of entertainment robots and genetic algorithm optimization. The study analyzed the characteristics of experiential theme parks and introduced landscape 3D modeling techniques for creating interactive 3D models of green spaces in theme parks. By using technologies such as sensors and cameras, entertainment robots can perceive the presence and behavior of tourists. Entertainment robots can interact with tourists in real-time, customize them according to their interests and needs, and provide unique and enjoyable experiences for tourists. By collecting and analyzing feedback and behavioral data from tourists, the advantages and improvement points of digital interactive experiences can be identified. Through comparative experimental analysis with traditional experience methods, it was found that digital interactive experience can significantly improve tourist participation and satisfaction. Through user data analysis of interactive experience, this design can effectively improve the greening design of theme parks, enhance tourist participation and entertainment experience. |
| Author Keywords |
Entertainment robots; Genetic algorithm optimization; Theme park greening design; Digital interactive experience |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001281026500001 |
| WoS Category |
Computer Science, Cybernetics; Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering |
| Research Area |
Computer Science |
| PDF |
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