PhD

Digital Methods in Architecture


Computational Framework for Quantifying the Architectural Aesthetic Experience

The thesis seeks to establish a computational framework for quantifying the aesthetic experience of architecture. It builds on the 19th Century research of Gustav Fechner - that correlated psychological experience from physical stimulus - and the 20th Century work of Max Bense - that developed a theory of the "aesthetical state" of the works of art as realized signs, sign processes and sign systems (Walter, 2000) - and implements contemporary data science for optimisation and optioneering of design solutions. The scope of the thesis is limited to the image domain.

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Changing Perspective: First-Person Modular Design in VR

Architects have long spent hunched over their desk/screen, envisioning a building through the interpretive layer of geometric abstraction. In times of immersive technology we have, for the first time, the opportunity to leave this high vantage point in favour of a first-person modelling approach, where the designer is surrounded by the design in actual scale and interacts with it through movements of the body.

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