Theme park greening VR design based on entertainment robots and genetic algorithm optimization: Digital entertainment design experience

IF 2.8 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

Entertainment Computing Pub Date : 2024-07-22 DOI:10.1016/j.entcom.2024.100840

Yue Huang , Xinxia Ke , Yulin Jiang

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引用次数: 0

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.

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基于娱乐机器人和遗传算法优化的主题公园绿化 VR 设计：数字娱乐设计体验

主题公园应提供有吸引力的绿化设计和数字互动体验，以吸引游客并提高他们的满意度。因此，本研究旨在通过使用娱乐机器人和遗传算法优化，在主题公园绿化设计中实现数字化互动体验。研究分析了体验式主题公园的特点，并介绍了景观三维建模技术，用于创建主题公园绿地的交互式三维模型。通过使用传感器和摄像头等技术，娱乐机器人可以感知游客的存在和行为。娱乐机器人可以与游客进行实时互动，根据游客的兴趣和需求进行定制，为游客提供独特而愉快的体验。通过收集和分析游客的反馈和行为数据，可以找出数字互动体验的优势和改进点。通过与传统体验方式的对比实验分析，发现数字互动体验能显著提高游客的参与度和满意度。通过对互动体验的用户数据分析，该设计能有效改进主题公园的绿化设计，提高游客的参与度和娱乐体验。

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来源期刊

Entertainment Computing Computer Science-Human-Computer Interaction

CiteScore

5.90

自引率

7.10%

发文量

期刊介绍： Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.