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This research focuses on an AI-driven interactive system based on embodied cognition theory to revolutionize museum learning. Embodied cognition theory posits that cognition links to physical actions and the environment. Our designed system uses the perception-action cycle as the core model and centers on Hunan Flower Drum Opera, a culturally-rich art form. The system, with advanced AI algorithms to create images, deconstructs the opera’s gestures, postures, and vocalization. This allows visitors to interact in real-time, promoting both physical imitation and cognitive reflection. Such interaction helps visitors understand the opera’s cultural and historical background. Research findings show that this AI-enhanced embodied interaction boosts visitors’ engagement, memory retention, and cultural appreciation. It underlines AI’s potential in enriching learning experiences, helping museums make cultural heritage more accessible. This study offers a replicable model for digital heritage protection and insights into applying embodied cognition in interactive learning.

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From Perception to Action: Embodied Cognition Systems Driven by AI Empowering Museum Experience Design-Taking Hunan Flower Drum Opera as an Example

  • 会议论文

  • 发表日期：

    2025年

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  • Fangchao Yang,
  • Qian Bao,
  • Yifan Ding,
  • Bingqian Zhu,
  • Bin Wang,
  • Xinran Song

摘要

This research focuses on an AI-driven interactive system based on embodied cognition theory to revolutionize museum learning. Embodied cognition theory posits that cognition links to physical actions and the environment. Our designed system uses the perception-action cycle as the core model and centers on Hunan Flower Drum Opera, a culturally-rich art form. The system, with advanced AI algorithms to create images, deconstructs the opera’s gestures, postures, and vocalization. This allows visitors to interact in real-time, promoting both physical imitation and cognitive reflection. Such interaction helps visitors understand the opera’s cultural and historical background. Research findings show that this AI-enhanced embodied interaction boosts visitors’ engagement, memory retention, and cultural appreciation. It underlines AI’s potential in enriching learning experiences, helping museums make cultural heritage more accessible. This study offers a replicable model for digital heritage protection and insights into applying embodied cognition in interactive learning.