Evaluating Buildings with Computation and Machine Learning (2016)
article⁄Evaluating Buildings with Computation and Machine Learning (2016)
abstract⁄Although computers have significantly impacted the way we design buildings, they have yet to meaningfully impact the way we evaluate buildings. In this paper we detail two case studies where computation and machine learning were used to analyze data produced by building inhabitants. We find that a building’s ‘data exhaust’ provides a rich source of information for longitudinally analyzing people’s architectural preferences. We argue that computationdriven evaluation could supplement traditional post occupancy evaluations.
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| Year |
2016 |
| Authors |
Davis, Daniel. |
| Issue |
ACADIA 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines |
| Pages |
116-123 |
| Library link |
N/A |
| Entry filename |
evaluating-buildings-with-computation-machine-learning |
