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

From National Research Council Canada

Download	View accepted manuscript: Preferred surface luminances in offices, by evolution: a pilot study (PDF, 673 KiB)
Author	Search for: Newsham, G. R.¹; Search for: Marchand, R. G.¹; Search for: Veitch, J. A.¹
Affiliation	National Research Council of Canada. NRC Institute for Research in Construction
Format	Text, Article
Conference	Proceedings of the IESNA Annual Conference: 04 August 2002, Salt Lake City
Subject	Open-plan offices [cubicles]; Lighting
Abstract	Lighting 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	2002-10-01
Language	English
Peer reviewed	Yes
NRC number	NRCC 45356 NRCC 14332
NPARC number	20386335
Export citation	Export as RIS
Report a correction	Report a correction (opens in a new tab)
Record identifier	0f7a4bae-359d-4371-8b01-ccf050d8dda5
Record created	2012-07-25
Record modified	2020-03-30

Date modified:: 2024-07-28