Design of an immersive experience system integrating folk culture with installation art based on artificial intelligence and optical imaging technology

In response to the problems of insufficient interactivity and weak immersion in the current display of traditional folk culture, this paper proposes an immersive experience system design that integrates folk culture into installation art based on artificial intelligence technology. To solve these problems, this paper first uses Convolutional Neural Network (CNN) to perform image recognition and digital processing of folk cultural elements (such as traditional costumes, utensils, festivals, etc.), transforming them into interactive virtual scenes, and achieving highly restored immersive display through 3D modeling technology. Next, this paper combines the speech recognition and generation technology in Natural Language Processing (NLP) to realize voice interaction between the audience and the system. In order to enhance the user's personalized experience, this paper adopts a recommendation algorithm based on Deep Q-Network (DQN) to adjust the displayed content in real time according to the user's interactive behavior. In addition, to enhance the clarity and realism of virtual scene reconstruction, the system integrates optical imaging technology, enabling precise presentation of cultural textures and spatial depth, and providing users with a more authentic and visually immersive experience. Finally, experimental data showed that the system significantly enhanced user engagement and emotional resonance. These findings demonstrate the system’s potential to enhance the interactivity, immersion, and emotional impact of digital folk culture displays.