Lighting quality research using rendered images of offices

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DOIResolve DOI: http://doi.org/10.1191/1365782805li132oa
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TypeArticle
Journal titleLighting Research and Technology
Volume37
IssueJune 2
Pages93115; # of pages: 23
SubjectOffice lighting; Open-plan offices [cubicles]
AbstractForty participants viewed a series of high-quality, 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.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number47072
16351
NPARC number20377596
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Record identifierb0e1797a-c736-4b19-b305-b207e2f99517
Record created2012-07-24
Record modified2016-05-09
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