Interaction Design for Human-AI Choreography Co-creation
Yimeng Liu

TL;DR
This paper explores interaction design strategies for human-AI collaboration in choreography, focusing on how humans and AI communicate and co-create embodied dance performances, aiming to enhance artistic collaboration.
Contribution
It introduces a framework for AI-assisted choreography, analyzing interaction design considerations specific to the embodied nature of dance co-creation.
Findings
Analysis of AI-assisted choreography techniques like generative ideation and embodied improvisation.
Identification of key interaction design principles for effective human-AI collaboration in dance.
Guidelines for designing future human-AI choreography systems.
Abstract
Human-AI co-creation aims to combine human and AI strengths for artistic results exceeding individual capabilities. Frameworks exist for painting, music, and poetry, but choreography's embodied nature demands a dedicated approach. This paper explores AI-assisted choreography techniques (e.g., generative ideation, embodied improvisation) and analyzes interaction design -- how humans and AI collaborate and communicate -- to inform the design considerations of future human-AI choreography co-creation systems.
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Taxonomy
TopicsPersona Design and Applications · Innovative Human-Technology Interaction
