Research
Where machine perception breaks.
Why I do this
Computers are learning to watch us. They follow a hand, read a face, squash a person into a few numbers and draw them again at the other end of a video call. Nearly all of it is built for someone sitting still, in good light, doing something ordinary.
Performance is the opposite of that. On a stage an eyebrow can change what a sentence means, the lighting is actively working against the camera, and one wrong read ruins the moment. So I use performance to push these systems until they break, and then look at who gets hurt when they do.
Projects
- 01 SignFlip In sign language your eyebrows carry grammar. I am testing what happens to that when AI redraws your face on a video call. Computer visionIn progress 2026
- 02 Lights Hand gestures that call the lighting cues in a play, judged by how often they fire by mistake rather than by accuracy. PaperBeing written 2026