Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation
<|reference_start|>Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation: This paper introduces Text2Tradition, a system designed to bridge the epistemological gap between modern language processing and traditional dance knowledge by translating user-generated prompts into Thai classical dance sequences. Our approach focuses on six traditional choreographic elements from No. 60 in Mae Bot Yai, a revered Thai dance repertoire, which embodies culturally specific knowledge passed down through generations. In contrast, large language models (LLMs) represent a different form of knowledge--data-driven, statistically derived, and often Western-centric. This research explores the potential of AI-mediated systems to connect traditional and contemporary art forms, highlighting the epistemological tensions and opportunities in cross-cultural translation.<|reference_end|>
@article{pataranutaporn2024text2tradition:,
    title={Text2Tradition: From Epistemological Tensions to AI-Mediated
  Cross-Cultural Co-Creation},
    author={Pat Pataranutaporn, Chayapatr Archiwaranguprok, Phoomparin Mano,
  Piyaporn Bhongse-tong, Pattie Maes, Pichet Klunchun},
    journal={arXiv preprint arXiv:2409.00203},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00203},
    primaryClass={cs.HC}
}