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Dancing Embryo: Enacting Dance Experience Through Human-AI Kinematic Collaboration 

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Abstract

This paper explores the intersection of dance, human experience, and artificial intelligence (AI), focusing on how AI can engage in dance-like movements through kinematic co-creation with human performers. The study challenges traditional notions of dance, which are typically centered on human physicality and expressivity, by demonstrating how AI-generated movements can evoke meaningful dance experiences. The project, Dancing Embryo, is a collaboration between a dancer-choreographer and a computational scientist to create an interactive AI capable of generating and transforming dance movements. The AI dancer, designed using motion data from contemporary dancers, participates in real-time performances by synchronizing features of its movements with a human dancer. This work expands the definition of dance to include non-human agents and emphasizes co-creativity between humans and machines. The paper discusses the technological, philosophical, and artistic implications of AI dance, proposing that the experience of dance can be perceived and completed through human interpretation, even when performed by a machine. 

Keywords: human-AI interaction, posthuman art, contemporary dance, rhythmic entrainment, co-creativity

How to Cite:

Marin-Bucio, D., (2025) “Dancing Embryo: Enacting Dance Experience Through Human-AI Kinematic Collaboration ”, Documenta 42(1): 9, 247–277. doi: https://doi.org/10.21825/documenta.93276