Computational mechanisms in architectural adaptation and interaction process through human behavior physical inputs

This paper demonstrates and discusses an ongoing teaching and research investigation concentrated on the development of computational mechanisms in the early conceptual design stage as part of architectural adaptation and interaction process. In order to achieve this, computational design strategies are developed involving human behavior physical conditions, which result real time design possibilities to emerge. Analytically, physical data derived from external human behavior influences are encoded and used as the input parameters in our suggested adaptation process. Together with digital or physical adaptive architectural outcomes, control mechanisms are suggested that represent the intelligence of each computational design system. The suggested process is considered as a feedback loop mechanism that cyclically iterates between design generation to perception and evaluation of design solutions according to architect-user personal decision and choice. In this paper, selected teaching and research outcomes are demonstrated and discussed, specifically in terms of their ability to produce desirable results based on the interactivity between digital mechanisms and processes as well as human behavior as physical inputs.