@inproceedings{67c611a976554f1ebf88428da0e1364a,
title = "ArtifactShow: Incorporating Generative AI into Narrative Visualization for Interactive Cultural Experience",
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.",
keywords = "Cultural Heritage, Data Visualization, Generative AI",
author = "Ningning Xu and Yu Liu and Yifei Chen and Zheyuan Jiang and Yuwei Ren and Zhichao Zhang and Bin Jia and Lingyun Yu",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 ; Conference date: 26-04-2025 Through 01-05-2025",
year = "2025",
month = apr,
day = "26",
doi = "10.1145/3706599.3720160",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems",
}