Adapting cultural heritage narratives: GPT’s potential in tailoring heritage content for diverse audiences

Papachristos, Eleftherios, Schneiders, Eike and Wattne, Ole Edward (2024) Adapting cultural heritage narratives: GPT’s potential in tailoring heritage content for diverse audiences. In Interactive Storytelling for Communities, Heritage and Public Engagement Workshop at NordiCHI'24.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper explores the potential of ChatGPT, to adapt cultural heritage narratives for diverse audiences. By analyzing stories from the rurAllure project, we assessed ChatGPT's ability to evaluate and modify content for various demographics, including cultural background, educational level, age, and disabilities. Our findings suggest that while ChatGPT can create an evaluative framework and make adaptations that seem rational on the surface, the process is not without errors and requires careful oversight. The study highlights the promise of LLMs in enhancing personalized storytelling in cultural heritage contexts but underscores the need for further research involving real content creators and audiences to fully understand their effectiveness and utility.

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NordiCHI_24_WS__Cultural_Heritage

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