Virtual Reality Based Cultural Heritage Tourism Experience Design

Abstract

Virtual reality supports immersive cultural heritage tourism beyond spatial and temporal constraints, but fixed routes cannot fully reflect visitors' individual interests. This study develops a Unity-based virtual environment using Open Heritage 3D data, with CLIP extracting multimodal features from cultural-node images, descriptions, and user interests. A weighted A* algorithm generates personalized routes by combining interest scores, distance, dwell time, and total visit duration. Compared with fixed routes, personalized routing improves high-interest node coverage and interest gain per unit time while maintaining low planning latency. It also shows positive effects on satisfaction, cultural knowledge, and visitation intention. The results demonstrate that multimodal interest matching and explainable route optimization can improve cultural relevance without increasing route cost.