DEVELOPMENT OF AI-DRIVEN ARCHITECTURAL DESIGN GUIDELINES: ESTABLISHING HUMAN BIOMETRIC SIGNAL-DRIVEN ARCHITECTURAL DESIGN GUIDELINE AS A FUNCTION OF PSYCHOLOGICAL PRINCIPLES

Xingbai Zhang, MBS '21


ARCH 692B: Building Science Thesis

Instructor: Karen Kensek

In most architectural design projects, the clients and architects are the main members of the designing process. Architects and clients unescapably spend a large amount of time deciding design agreements due to misunderstandings about the clients’ requirements and preferences. The objective of the proposed research is to develop architectural design guidelines based on the use of advanced machine learning algorithms. Unlike the current architectural conventional design process, advanced sensing technologies provide information based on the clients’ reactions, such as physiological signals and psychological factors. Architects’ concept design might provide more opportunities to achieve the clients’ satisfaction.


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