AI-Based Design Research on Visual Interaction Design for Virtual Navigation of Cultural Attractions

Digital intelligent tourism is the focus of the current development of tourism industry information construction, with the development of computer technology and artificial intelligence technology, scenic tourism is also gradually developing in an intelligent trend. For the personalization and intelligence of scenic virtual navigation design, the accuracy of scenic tourism navigation and route recommendation, the study designed the interface information such as navigation signs based on the idea of visual communication design, and secondly, the map matching model is designed based on artificial intelligence technology Hidden Markov Model. The simulation experiment results showed that with the increase of the sampling frequency, the working efficiency of the improved Hidden Markov model increased significantly. When the sampling frequency was 10s, the matching length of the improved Hidden Markov model per second was 850m/s, and the maximum difference was 800m/s. The highest matching accuracy value of the model in parallel and intersection sections reached 0.94, and the model accuracy curve had good stability, ranging from 0.80 to 0.90. The model performed best in terms of accuracy, recall, and F1 comprehensive performance evaluation, with values of 0.92, 0.88, and 0.87, respectively, which were higher than the other three models. Based on the design concept of visual communication and the expansion of artificial intelligence technology, this system suitable for scenic spots and route navigation has been designed, which has high practicality and has a promoting effect on creating intelligent scenic spots.