Application of Mobile Augmented Reality Technology in Urban Tourism and Optimization of Visitor Experience

Abstract

In urban tourism scenarios, the deployment of mobile augmented reality applications is constrained by limited on-device computational resources, sensitivity to energy consumption, and fluctuating network conditions in scenic areas. Furthermore, the dynamic variability of visitor behavior introduces additional challenges, often resulting in excessive power consumption, insufficient rendering frame rates, and disrupted experiences under weak network conditions. These limitations hinder the provision of sustained immersive guidance services. To address these challenges, a lightweight on-device optimization framework for mobile augmented reality was proposed, oriented toward enhancing visitor experience. Dynamic scheduling of pose estimation was achieved through visitor motion semantic perception. A multi-resolution rendering optimization strategy for mobile devices was developed based on visual attention mechanisms. In addition, an edge-side asset caching and intelligent preloading strategy tailored to tourism scenarios were designed. Finally, an integrated on-device pipeline was constructed, incorporating perception, rendering, and caching modules. The proposed framework advances the paradigm of on-device optimization for mobile augmented reality and provides a robust technical foundation for the large-scale deployment and practical implementation of mobile augmented reality technologies in urban cultural tourism contexts.