This project uses embedded, situated computing to study the home as a site of intimate life. After constructing and inhabiting a multi-modal smart home system, resulting data drives a generative art installation. The result is a complex, machine-mediated portrait of the everyday. Here, two videos—overhead computer vision annotating occupancy behavior, and generative video imagining new events in that space—explore the role of in-home AI and the new perspectives provided by machine intelligence.

My written dissertation on the project, “Machines for Living,” is online here.