Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 19, 2025


Pages


DOI

Article

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

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Authors

Lulu Qu Affiliation:
Anhui Sanlian University, Hefei, Anhui, 230000, China.
and Zhigang Cheng Affiliation:
Anhui Provincial Urban and Rural Planning and Design Research Institute Co., Ltd., Hefei, Anhui, 230000, China.


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.


Keywords

Artificial intelligence, User role model, Fuzzy KANO model, Design effect evaluation, Digital museums, 03C65


Citation

Qu, L. & Cheng, Z. (2025). Digital museum interaction design based on artificial intelligence and user role modeling. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0515

Published by: Engineering Journals

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