A Prompt Engineering Framework for Intangible Cultural Heritage Micro-Dramas
- DOI
- 10.2991/978-2-38476-511-9_100How to use a DOI?
- Keywords
- micro-short dramas; AIGC; Large Language Models; prompt engineering
- Abstract
Against the backdrop of practical challenges in creating micro-short dramas centered on intangible cultural heritage—including high creative barriers, superficial cultural expression, and mismatched production cycles with market rhythms—this study proposes a standardized “prompt engineering” narrative construction framework grounded in brand communication theory and content marketing perspectives. This framework leverages large language models (LLMs) by using information architecture and audience insights as its theoretical core to employ layered, modular prompt design to transform intangible cultural heritage elements into structured instructions processable and interpretable by models. It aims to enhance creative efficiency and the accuracy of cultural expression, while providing theoretical support and methodological pathways for the digital dissemination of intangible cultural heritage without costly fine-tuning.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingyi Yang AU - Yaoyang Chen AU - Yi Li AU - Sijie Wang PY - 2025 DA - 2025/12/31 TI - A Prompt Engineering Framework for Intangible Cultural Heritage Micro-Dramas BT - Proceedings of the 7th International Conference on Literature, Art and Human Development (ICLAHD 2025) PB - Atlantis Press SP - 858 EP - 866 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-511-9_100 DO - 10.2991/978-2-38476-511-9_100 ID - Yang2025 ER -