Rules of our behavior within the spaces that we occupy are constantly changing as the continuous advance in technology is enabling new patterns of interactivity. Nevertheless, it is apparent that architecture, the environment we interact the most with, doesn't really interact with us. This project questions how such dialogue can be built with the utilization of contemporary machine learning and machine vision frameworks, enabling autonomous architectural system development. The pipeline examines concept development by analyzing occupant behavior within their environments as well as simulating engagement and prototyping interaction, needed to design responsive, adaptive and interactive space.
CO-CATALYTIC ENVIRONMENTS
DESIGNING INTERACTIVE BEHAVIOUR DRIVEN SPACES
Masters thesis project
Academic work
DESIGNING INTERACTIVE BEHAVIOUR DRIVEN SPACES
Masters thesis project
Academic work