Encypher: Shared Agency and Social Presence in Collaborative Music Generation for Dance Cyphers

📅 2026-09-15
📈 Citations: 0
Influential: 0
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🤖 AI Summary
研究通过Encypher系统解决AI与人类在舞蹈圈中协作创作音乐的问题,采用将集体动作转化为文本提示来实时生成音乐的方法。
📝 Abstract
Music and dance are social practices of expression and connection, yet most HCI work in human-AI co-creation centers the solo performer. As generative music matures, we ask not only what AI can compose but what social encounters it can organize around sound. We present Encypher, a collaborative generative music system that translates collective movement qualities into text prompts conditioning real-time music generation for dance cyphers. Through five weeks of co-design with local dancers, a user study with unacquainted participants, a public museum event, and a live performance, we found that users developed shared agency, perceiving the music as a response to the room's energy. While newcomers felt uncertain, the system fostered social presence by prompting them to look to each other for cues. By treating sociality as a design concern rather than a downstream effect, we offer a framework and design implications for AI systems for collaborative, embodied expression.
Problem

Research questions and friction points this paper is trying to address.

collaborative music generation
social presence
shared agency
Innovation

Methods, ideas, or system contributions that make the work stand out.

collaborative generative music
shared agency
social presence
dance cyphers
real-time music generation
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