Lighting quality research using rendered images of offices

From National Research Council Canada

Download	View accepted manuscript: Lighting quality research using rendered images of offices (PDF, 935 KiB)
DOI	Resolve DOI: https://doi.org/10.1191/1365782805li132oa
Author	Search for: Newsham, G. R.¹; Search for: Richardson, C.¹; Search for: Blanchet, C.¹; Search for: Veitch, J. A.¹
Affiliation	National Research Council of Canada. NRC Institute for Research in Construction
Format	Text, Article
Subject	Office lighting; Open-plan offices [cubicles]
Abstract	Forty 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	2005-06-01
In	Lighting Research and Technology 37, no. June 2 (1 June 2005): 93–115.
Language	English
Peer reviewed	Yes
NRC number	NRCC 47072 NRC-IRC-16351
NPARC number	20377596
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Record identifier	b0e1797a-c736-4b19-b305-b207e2f99517
Record created	2012-07-24
Record modified	2020-04-07

Date modified:: 2024-07-06