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

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arxiv 2501.00359 v1 pith:WFGXM6EG submitted 2024-12-31 cs.HC

classification cs.HC
keywords culturalnarrativesgenaiheritagelocalparticipantssitescreate
verification ladder T0 review T1 audit T2 compute T3 formal
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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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    An LLM chat agent prompted with 2000-2010 Chinese BBS dialogue and deployed in a restored MSN window elicited nostalgic memory flashbacks and language adaptation from participants familiar with that era.

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