Using a combination of industrial robotics and high power magnets, a seemingly inconspicuous frame on a wall, magically comes to life. Through a series of experimental films, photography and physical prototypes, the primitive effects of eye (and eye-like) stimuli have been investigated. The Eye Catcher project in its conclusion has developed a novel expressive interface where emotion recognition algorithms read audience faces and in-turn trigger the animation of a face formed of ferrofluid.

Charlie Zhang
Supervisors: Ruairi Glynn, Dr Chris Leung & William Bondin
Interactive Architecture Lab
Co-researcher: Ran Xie