Preferred surface luminances in offices, by evolution: a pilot study

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ConferenceProceedings of the IESNA Annual Conference: 04 August 2002, Salt Lake City
Pages375398; # of pages: 24
SubjectOpen-plan offices [cubicles]; Lighting
AbstractLighting experts viewed a series of greyscale images of a typical open-plan partitioned office, and rated them for attractiveness. The image was projected onto a screen at realistic luminances and 54% of full size. The images in the series were geometrically identical, but the luminances of important surfaces were independently manipulated. Initially, the combinations of luminances were random, but as thesession continued a genetic algorithm was used to generate images that generally retained features of the prior images that were rated most highly. As a result, the images presented converged on an individual's preferred combination of luminances. The results demonstrated that this technique was effective in reaching a participant's preferred combination of luminances. There were significant differences in room appearance ratings of the most attractive image compared to an image of average attractiveness, and the differences were in the expected direction (e.g., more pleasant, more spacious). Furthermore, factor analysis of ratings of the most attractive images revealed a factor structure similar that obtained when people rated real office spaces. Preferred luminances were similar to those chosen by people in real settings.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number45356
NPARC number20386335
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Record identifier0f7a4bae-359d-4371-8b01-ccf050d8dda5
Record created2012-07-25
Record modified2016-05-09
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