@inproceedings{10.1145/3706599.3720160,
author = {Xu, Ningning and Liu, Yu and Chen, Yifei and Jiang, Zheyuan and Ren, Yuwei and Zhang, Zhichao and Jia, Bin and Yu, Lingyun},
title = {ArtifactShow: Incorporating Generative AI into Narrative Visualization for Interactive Cultural Experience},
year = {2025},
isbn = {9798400713958},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3706599.3720160},
doi = {10.1145/3706599.3720160},
abstract = {We propose ArtifactShow, an interactive system that engages users in cultural experiences through a series of digital shows powered by generative AI. Current cultural digitization processes rely heavily on labor-intensive efforts to create complex multimedia scenes from vast amounts of cultural data. To address this challenge, we integrate generative AI into narrative visualization, enhancing public understanding of historical and cultural narratives through navigation, exploration, and visual analysis. To evaluate the effectiveness of our system, we conducted user studies with three domain experts and seven volunteers. Our findings suggest that ArtifactShow has significant potential to enhance public knowledge and interest in cultural heritage. Through our exploration, we developed a workflow and design guidelines for using generative AI to construct narrative visualizations for cultural heritage.},
booktitle = {Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
articleno = {78},
numpages = {8},
keywords = {Cultural Heritage, Data Visualization, Generative AI},
location = {
},
series = {CHI EA '25}
}