Dialog on a canvas with a machine
This work addresses the problem of exploring and questioning human-machine interaction for artists and researchers, but it appears incremental as it builds on existing interactive art and machine learning concepts without introducing a major new paradigm.
The paper tackles the problem of human-machine interaction by proposing a pictorial game where artists and a machine take turns painting, with the machine using algorithms to complete drawings and projecting them onto a canvas for artists to modify, resulting in an interactive process that fosters creativity and questions human-machine relationships.
We propose a new form of human-machine interaction. It is a pictorial game consisting of interactive rounds of creation between artists and a machine. They repetitively paint one after the other. At its rounds, the computer partially completes the drawing using machine learning algorithms, and projects its additions directly on the canvas, which the artists are free to insert or modify. Alongside fostering creativity, the process is designed to question the growing interaction between humans and machines.