Digital Museum Interaction Design Based on Artificial Intelligence and User Role Modeling

Abstract This project takes the development trend of museum digitization as the foundation, classifies the user groups, constructs the user role model, and selects the demand elements of digital museum interaction design through user interviews. The fuzzy KANO model is introduced to classify the selected demand elements of digital museum interaction design and summarize the hierarchical ordering of digital museum functional elements. On this basis, the interaction design of digital museum is carried out by taking Sanxingdui as an example, and the evaluation of the design effect is completed through test experiments. The results show that the selected 22 user requirements are categorized into four hierarchical elements. Most users are able to complete the main task test within 60s, and the usefulness, ease of use, ease of learning and satisfaction scores of the digital museum design are in the middle to upper level of 7.00~7.55, and the constructed interaction design of the digital museum can meet the needs of most users. In this paper, the application of augmented reality interaction design in constructing digital museums based on user role model enhances users’ sense of visiting experience and satisfaction.