Lighting quality research using rendered images of offices
Autor: | C Richardson, Guy R. Newsham, Jennifer A. Veitch, C Blanchet |
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Rok vydání: | 2005 |
Předmět: |
Attractiveness
Brightness business.industry Computer science 05 social sciences Bureaux à aires ouvertes ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Office lighting 050109 social psychology Astrophysics::Cosmology and Extragalactic Astrophysics 02 engineering and technology Luminance Quality research Éclairage de bureau Open-plan offices [cubicles] Computer Science::Computer Vision and Pattern Recognition 021105 building & construction 0501 psychology and cognitive sciences Computer vision Artificial intelligence Electrical and Electronic Engineering business Astrophysics::Galaxy Astrophysics ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Lighting Research & Technology. 37:93-112 |
ISSN: | 1477-0938 1477-1535 |
DOI: | 10.1191/1365782805li132oa |
Popis: | Forty participants viewed a series of high-quality, computer-rendered colour images of a typical open-plan partitioned office, and rated them for attractiveness. The images were projected at realistic luminances and 33% of full size. The images were geometrically identical, but the outputs of four lighting circuits depicted in the renderings were independently manipulated. Initially, the lighting circuit outputs were random, but a genetic algorithm was used to generate new images that retained features of prior, highly-rated, images. As a result, the images converged on an individual’s preferred scene. Luminances in the preferred image were similar to preferred luminances chosen by people in real settings. A sub-set of images was rated on Brightness, Non-Uniformity and Attraction scales. Ratings were significantly related to simple photometric descriptors of the images. In particular, around 50% of the variance in Attraction ratings was predicted by average image luminance and its square, or by average image luminance and a measure of luminance variability. |
Databáze: | OpenAIRE |
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