Learning to Move, Learning to Play, Learning to Animate: a Multimedia Exploration of the More-than-human Intelligence
This paper presents Learning to Move, Learning to Play, Learning to Animate , a cross-disciplinary performance presenting a narrative where humans, robots, synthetic embodiments, and organic entities interact across multiple layers of reality, reflecting our increasingly hybridized world. Rooted in the conceptual foundation of more-than-human intelligence, we connect our conceptual exploration with the stage design, choreography, and technical system design, blending natural and synthetic elements. The performance critiques anthropocentrism and highlights themes of interconnectedness and shared environments, inviting audiences to reconsider the agency of non-human intelligence and explore the potential of co-creativity across natural and synthetic boundaries.
Authors
- Mingyong Cheng (ORCID: https://orcid.org/0000-0001-9830-9652)
- Han Zhang (ORCID: https://orcid.org/0009-0006-9219-5598)
- Y. Gu
- Sophia Sun (ORCID: https://orcid.org/0000-0003-1490-5647)
Institutions
- University of San Diego (US)
- University of California San Diego (US)
Publication Details
- Journal
- Proceedings of the ACM on Computer Graphics and Interactive Techniques
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1145/3736788
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00