Piyaporn Bhongse-Tong’s scientific contributions

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Publications (3)


Open Dance Lab: Digital Platform for Examining, Experimenting, and Evolving Intangible Cultural Heritage
  • Conference Paper

March 2025

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10 Reads

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Phoomparin Mano

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[...]

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Pichet Klunchun

Figure 1: Web interface of text2tradition, encouraging new cultural co-creation through the reflection and interpretations between epistemological tensions of Thai dance and LLM dataset
Figure 3: Three Generated Dances from Three Contemporary Tales
Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation
  • Preprint
  • File available

August 2024

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43 Reads

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.

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Human-AI Co-Dancing: Evolving Cultural Heritage through Collaborative Choreography with Generative Virtual Characters

June 2024

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44 Reads

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7 Citations

This research introduces an approach for translating traditional dance knowledge into interactive computational models extending beyond static dance performance recordings. Specifically, this paper presents the concept of "Human-AI co-dancing," which involves integrating human dancers with virtual dance partners powered by models derived from dance principles. To demonstrate this concept, the research focuses on the choreographic principles deconstructed from the knowledge of traditional Thai dance. The principles are analyzed and translated into computational procedures that dynamically manipulate the movements of a virtual character by altering animation keyframes and the motions of individual joints in real-time. We developed an interactive system that enables dancers to improvise alongside the virtual agent. The system incorporates voice control functionality, allowing the dancer, choreographer, and even the audience to participate in altering the choreography of the virtual agents by adjusting parameters that represent traditional Thai dance elements. Human-AI rehearsals yielded intriguing artistic results, with hybrid movement aesthetics emerging from the synergy and friction between humans and machines. The resulting dance production, "Cyber Subin," demonstrates the potential of combining intangible cultural heritage, intelligent technology, and posthuman choreography to expand artistic expression and preserve traditional wisdom in a contemporary context.

Citations (1)


... Initiatives like "Ask Dali" [75] and "Awaken Sleeping Beauties" [17] demonstrate how conversational AI can deepen engagement by enabling interactions with historical personas. When embedded in VR environments, these models effectively provide a multi-perspective exploration of cultural heritage [36,49]. However, maintaining a balance in personalization remains challenging, as overly specific content may overwhelm users due to too many choices and information overload, while insufficient personalization risks disengagement [25,55]. ...

Reference:

Personalized Generative AI in VR for Enhanced Engagement: Eye-Tracking Insights into Cultural Heritage Learning through Neapolitan Pizza Making
Human-AI Co-Dancing: Evolving Cultural Heritage through Collaborative Choreography with Generative Virtual Characters
  • Citing Conference Paper
  • June 2024