Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 16, 2025
Multi-modal Information Learning and Analytics on Cross-Media Data Integration
|
|
---|---|---|
Article Number | 4 | |
Number of page(s) | 15 | |
DOI | https://doi.org/10.1051/smdo/2025005 | |
Published online | 01 April 2025 |
Research Article
Interactive design of digital museum based on artificial intelligence and user role model
School of Art and Design, North China Institute of Aerospace Engineering, Langfang 065000, Hebei, China
* e-mail: liushunli@nciae.edu.cn
Received:
15
December
2024
Accepted:
27
February
2025
The DM (digital museum) is based on the advantages of real-time feedback, multi-dimensionality, interactivity, and other characteristics of the information displayed by mobile devices, and fully combines the real three-dimensional entity with the modern network. It takes the route planning instructions as the center, connects the cultural explanation and the exhibition in series, and forms a complete digital guide process, so as to obtain the best auxiliary visiting information. However, there are still some information barriers between museums and the public under the new technology. In order to realize the development and upgrading of DM in the information technology and Internet environment, this paper uses the basic positioning algorithm in artificial intelligence to determine the specific location of visitors. User positioning is determined from the perspective of user research, and questionnaires and the overall architecture and functional process of the DM are formulated from the perspective of interaction design. The results show that in the DM based on artificial intelligence and user role model, the system innovation has increased by 19.81%, and the satisfaction of tourists has increased by 9.44%.
Key words: Digital museums / interaction design / user role models / artificial intelligence
© S. Liu, Published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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