游客需求视角下博物馆智慧导览系统优化研究——以广西桂林博物馆与玉林市博物馆为例

Research on the Optimization of Museum Smart Guide Systems from the Tourist Demand—Case Studies of Guangxi Guilin Museum and Yulin Museum

摘要: 在智慧博物馆建设背景下，本研究聚焦游客需求视角，以广西桂林博物馆与玉林市博物馆为实证对象，通过混合研究方法探究智慧导览系统的优化路径。研究基于308份有效问卷数据，揭示游客需求的分层化特征：年轻群体偏好VR体验、个性化推荐等互动功能，老年及特殊群体侧重操作便捷性与无障碍设计。技术融合层面，AR/VR与AI动态推荐显著提升沉浸体验，但导航精度与付费意愿仍为短板。商业模式上，“基础服务免费 + 增值服务付费”的后付费模式兼具可行性与公益属性。系统架构需强化跨场馆协同，通过云计算–本地部署–多终端适配的分层架构整合资源。研究提出功能分层设计、高精度定位技术应用、多元盈利机制及平台化协同策略，为博物馆智慧导览系统的精准化升级提供理论与实践参考。

Abstract: Under the context of smart museum development, this study focuses on the perspective of tourist demand, taking the Guangxi Guilin Museum and Yulin Museum as empirical cases to explore optimization pathways for smart guide systems through mixed research methods. Based on 308 valid questionnaire responses, the research reveals stratified characteristics of tourist demands: younger groups prefer interactive features such as VR experiences and personalized recommendations, while elderly and special-needs groups emphasize operational convenience and accessibility design. At the technological integration level, AR/VR and AI-driven dynamic recommendations significantly enhance immersive experiences, yet navigation accuracy and willingness to pay remain weaknesses. For business models, a post-payment model of “free basic services + paid premium services” demonstrates both feasibility and public welfare attributes. System architecture requires strengthened cross-venue collaboration, integrating resources through a layered architecture combining cloud computing, local deployment, and multi-terminal adaptation. The study proposes hierarchical functional design, application of high-precision positioning technologies, diversified profit mechanisms, and platform-based collaborative strategies, providing theoretical and practical references for the precise upgrading of smart guide systems in museums.