Georgios Diapoulis

This paper explores an alternative approach to interaction based on the discrete Huffman encoding of input from a single continuous controller. Statistical analysis indicates the feasibility of a tactically predictive system on this basis.

The study uses online video observation to investigate patterns of interactivity. Relations of affordances, temporal constraints and liveness between code the music are visualized as a modular framework. The aim is for the reader to employ the map for interactive AI applications.