Temporal Space is a multimedia dance installation emphasizing curiosity, play, and the exploratory generation of movement via visual and acoustic feedback. Set in a dimmed environment, this project encourages proprioception of the dark, and the interplay between the seen and the unseen, to produce a collective visualization of captured movement and choreography. With no professional performers, the audience assumes the role of dancer, choreographer, and eventually viewer, in a room of interactive zones, each bestowed with unique rules and feedback triggers. Alternating between phases of interacting and observing, the public is able to witness a collaborative result of their captured and altered parameters, then iterate further on their collective inquiry. By leveraging affordable arrays of webcams as infrared sensors, and utilizing AI to parse data through facial, body, object recognition, as well as interpolate captured footage with previous/pictorial references, the project merges the audience’s curiosity and playfulness with AI’s own playful interpretations of movement capture to produce and archive real-time, iterative interactivity as visualized choreography.