Social Acceptance Prediction Model for Generative Architectural Spaces in India

Abstract

Generative Architectural design is an emerging design process that is evolving due to evolution of computational power of computers and its ability to provide multiple choices of design solutions in architecture. This process, however, has a few drawbacks, some of which are, a high number of solutions which take less time for computers to produce than for their human counterpart to interpret and choose from and the less social acceptance of generative architectural design solutions. Due to the algorithms being unaware of what humans deem as acceptable solutions, these problems persist. A way to bridge such gap is through a survey simulation model, which the computer can apply to simulate acceptance of the created solution if it were put through a survey. A mathematical model has been developed though analysis of a survey such that a computer can predict how acceptable a particular iteration of a Generative Architectural design process is if it were put through a similar survey. Scores obtained in the survey simulation can be used to predict how acceptable a particular design iteration is there by culling less acceptable solutions and reducing the number of iterations provided to humans for review after running Generative Architectural algorithms.