Perceptual Architecture
In this thesis, perceived space is investigated in a high density architectural context. Understanding how to optimize the subjective space is an opportunity to provide perceptually informed high density architecture. The aims of this thesis are to (1) develop an understanding of the perceived space by establishing optimizable parameters of a volume, (2) form a research through design methodology utilizing virtual reality experimentation, and (3) to apply the research to provide perceptually informed architecture which increases the perceived spaciousness and size of a dwelling. Virtual Reality (VR) improves an understanding of the perceived space compared to conventional design technologies. Firstly, a virtual experiment defined the optimum high-density apartment parameters with the key variables of perceived spaciousness, liveability, and size. During the VR experiments it was discovered that ceiling height and average room width determined separate responses to the perceived space. These were, ceiling height altering the perceived size and average room width altering the perceived spaciousness. Secondly, a VR methodology was utilized to test and resolve the complex issue of perceived space which requires implementation of architectural principles. The defined optimum parameters of room height and width alongside the literature provided the architectural principles to produce optimum perceived spaciousness, size and liveability. The principles include, perceptual overlap, extending line of sight, and primary and secondary zones. Thirdly, design evaluation explored architectural interventions using VR to illustrate the subjective space. I draw on research in design, virtual reality and psychology to develop a methodology that can sufficiently resolve the issues presented by this thesis. The paper argues that to design high-density housing for occupants, architects must have an understanding of perceived space. This has the potential to be achieved with the adoption of my thesis methodology.