Fusion of Virtual Human Guides and Digital Twins in Building a Tourism Metaverse: A Research on Cultural Tourism Product Development Based on Multimodal Interaction and Intelligent Dissemination Paths
This study explores the integrated application of virtual guidance and digital twin technology in the cultural tourism metaverse, and builds an immersive guidance system based on intelligent semantic analysis and 3D reconstruction of real scenes. This system integrates four main modules: intelligent tour guide dialogue engine, high-precision scene rendering platform, multi-terminal interaction system, and content delivery scheduling algorithm. Through UAV lidar scanning and image modeling technology, a millimeter-level three-dimensional replication of a 0.5 square kilometer cultural heritage site was realized, which enabled inter-terminal access by mobile phones and VR devices. Test data from the recruitment of 150 experimenters shows that compared with traditional digital tour guides, the new system increased tourist guidance efficiency by 37.1%, reduced voice interaction time by 57.9%, and increased willingness to share content on social platforms by 62.4%. The intelligent dissemination algorithm optimizes the push strategy based on user behavior. At 10:00 a.m., the click-through rate reached a daily high of 44.8%. This system verifies the feasibility of virtual-real integration technology in cultural dissemination, providing a reusable technical framework for the digital upgrade of scenic spots. Its multimodal interaction mechanism and intelligent dissemination model can be extended and applied in fields such as digital cultural relic protection and virtual exhibitions.
Authors
- Xingchen Zhou (ORCID: https://orcid.org/0000-0001-7283-1100)
- Meng Zhang (ORCID: https://orcid.org/0000-0001-5679-6843)
Institutions
- The University of Queensland (AU)
- Guizhou University (CN)
Publication Details
- Journal
- Applied and Computational Engineering
- Published
- 2025-06-20
- DOI
- https://doi.org/10.54254/2755-2721/2025.24193
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00