"I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives

December 31, 2024 ยท Declared Dead ยท ๐Ÿ› Proc. ACM Hum. Comput. Interact.

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Authors Zhiting He, Jiayi Su, Li Chen, Tianqi Wang, Ray LC arXiv ID 2501.00359 Category cs.HC: Human-Computer Interaction Citations 23 Venue Proc. ACM Hum. Comput. Interact. Last Checked 3 months ago
Abstract
Visitors to cultural heritage sites often encounter official information, while local people's unofficial stories remain invisible. To explore expression of local narratives, we conducted a workshop with 20 participants utilizing Generative AI (GenAI) to support visual narratives, asking them to use Stable Diffusion to create images of familiar cultural heritage sites, as well as images of unfamiliar ones for comparison. The results revealed three narrative strategies and highlighted GenAI's strengths in illuminating, amplifying, and reinterpreting personal narratives. However, GenAI showed limitations in meeting detailed requirements, portraying cultural features, and avoiding bias, which were particularly pronounced with unfamiliar sites due to participants' lack of local knowledge. To address these challenges, we recommend providing detailed explanations, prompt engineering, and fine-tuning AI models to reduce uncertainties, using objective references to mitigate inaccuracies from participants' inability to recognize errors or misconceptions, and curating datasets to train AI models capable of accurately portraying cultural features.
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