The work aims to propose a path planning method based on user experience satisfaction, in order to take into account user satisfaction and user behavior preferences when users visit virtual villages in a complex environment. Firstly, the virtual scene of the real village was restored, and the virtual village was subject to dimensionality reduction processing to obtain a rasterized map. Then, an improved A-star algorithm was proposed, and landmark points, user movement trajectories and user preference were used as constraints to build a virtual village path planning model under the influence of multiple factors. Finally, user behavior preference data were collected through design experiments, the constraint impact weight analysis was carried out by the constructed model, and the constraint conditions were used as the influencing factors of path finding algorithm. The experimental results showed that the path planned by this method could effectively accommodate multiple constraints such as landmarks, user movement trajectories, and user preference. The path planning results have obvious advantages in improving the user experience satisfaction in the virtual village scene, and can provide a new method for the user's immersive tour experience design.