NewVu aims to generate unique learning environments and predict the possible student capacity of each space. We utilized statistics from the student body such as preferred rooms, square footage, wall type, and student density, and compiled them into a generative algorithm. This algorithm genorates rooms by placing floor and wall tiles according to the hallway location and other parameters.

Thesis

Precedents

Sketches

Prototypes

Initial Data

 Prototype 2

Updated Data

 Prototype 3

Artwork/style

1.

2.

Room Generation Process

3.

4.

Room Generation Process Cont.

Final Photo

Final photo of project (delete this)

Room Gen Final Examples

Room Gen Final Examples

Room Gen Final Examples

3750 sq ft

unregulated door placement

optimal student rooms:

square

625 sq ft

low glass wall density