Preferred Chromaticity of Color-Tunable LED Lighting

REFERENCES

• Bardsley Consulting, Navigant Consulting Inc., Radcliffe Advisors Inc., SB Consulting, Solid State Lighting Services Inc. 2011. Solid-state lighting research and development: multi year program plan, March 2011 ( Updated May 2011). Washington (DC): US Department of Energy, Office of Energy Efficiency and Renewable Energy.
   Google Scholar
• Begemann SHA, van den Beld GJ, Tenner AD. 1997. Daylight, artificial light, and people in an office environment: overview of visual and biologic responses. Ind Ergon. 20:231 ‐239.
   Web of Science ®Google Scholar
• Berman SM, Jewett DL, Fein G, Saika G, Ashford F. 1990. Photopic luminance does not always predict room brightness. Light Res Technol. 22(1):37 ‐41.
   Google Scholar
• Bieske K, Schierz C. 2010. Dynamic lighting—perception of luminous colour variation. In: Proceedings of CIE 2010 “Lighting Quality and Energy Efficiency.” Vienna (Austria): CIE. p. 290 ‐297.
   Google Scholar
• BoycePR.. 1977. Investigations of the subjective balance between illuminance and lamp colour properties. Light Res Technol. 9(1):11 ‐24.
   Google Scholar
• Boyce PR, Veitch JA, Newsham GR, Jones CC, Heerwagen JH, Myer M, Hunter CM. 2006a. Lighting quality and office work: two field simulation experiments. Light Res Technol. 38(3):191 ‐223.
   Web of Science ®Google Scholar
• Boyce PR, Veitch JA, Newsham GR, Jones CC, Heerwagen JH, Myer M, Hunter CM. 2006b. Occupant use of switching and dimming controls in offices. Light Res Technol. 38(4):358 ‐378.
   Web of Science ®Google Scholar
• [CIE] Commission Internationale de l’Eclairage. 2004. Colorimetry. Vienna (Austria): CIE. No. CIE 15:2004.
   Google Scholar
• Cohen J. 1988. Statistical power analysis for the behavioral sciences. Hillsdale (NJ): Erlbaum. 567 p.
   Google Scholar
• Davis RG, Ginthner DN. 1990. Correlated color temperature, illuminance level, and the Kruithof curve. Journal of the Illuminating Engineering Society. 19(1):27 ‐39.
   Web of Science ®Google Scholar
• Davis W, Ohno Y. 2005. Toward an improved color rendering metric. In: Ferguson IT, Carrano JC, Taguchi T, Ashdown IE, editors. SPIE 5941: Fifth International Conference on Solid State Lighting. Bellingham (WA): SPIE. p. 59411G.
   Google Scholar
• Davis W, Ohno Y. 2010. Color quality scale. Opt Eng. 49(3): 033602-1-033602-16.
   Web of Science ®Google Scholar
• Dubois M-C, Johnsen K. 2003. Impact of coated windows on visual perception: a pilot study in small-scale models. Horsholm (Denmark): By og Byg, Stattens Byggeforskningsinstitut. No. By og Byg Documentation 044.
   Google Scholar
• Fairchild MD, Reniff L. 1995. Time course of chromatic adaptation for color–appearance judgments. J Opt Soc Am A Opt Image Sci. 12(5):824 ‐833.
   Google Scholar
• FotiosSA. 2011. Lighting in offices: lamp spectrum and brightness. Coloration Technology 127(2):114 ‐120.
   Web of Science ®Google Scholar
• Fotios SA, Houser KW. 2009. Research methods to avoid bias in categorical ratings of brightness. Leukos. 5(3):167 ‐191.
   Web of Science ®Google Scholar
• Galasiu AD, Newsham GR, Suvagau C, Sander DM. 2007. Energy saving lighting control systems for open-plan offices: a field study. Leukos. 4(1):7 ‐29.
   Web of Science ®Google Scholar
• Houser KW, Fotios SA, Royer MP. 2009. A test of the S/P ratio as a correlate for brightness perception using rapid-sequential and side-by-side experimental protocols. Leukos. 6(3):119 ‐138.
   Google Scholar
• Houser KW, Tiller DK, Hu X. 2004. Tuning the fluorescent spectrum for the trichromatic visual response: a pilot study. Leukos. 1(1):7 ‐23.
   Web of Science ®Google Scholar
• Hu X, Houser KW, Tiller DK. 2006. Higher color temperature lamps may not appear brighter. Leukos. 3(1):69 ‐81.
   Web of Science ®Google Scholar
• Kim JK, Schubert EF. 2008. Transcending the replacement paradigm of a solid-state lighting. Opt Express. 16(26):21835 ‐21842.
   PubMed Web of Science ®Google Scholar
• LauJJH.. 1972. Use of scale models for appraising lighting quality. Light Res Technol. 4(4):254 ‐262.
   Google Scholar
• Logadóttir Á, Christoffersen J. 2009. Dynamic lighting concept in Danish office environments with daylight contribution. In: Proceedings of Lux Europa 2009, 11th European Lighting Conference. Istanbul (Turkey): Turkish National Committee on Illumination. p. 169 ‐176.
   Google Scholar
• Logadóttir Á, Fotios SA, Christoffersen J, Hansen SS, Corell DD, Dam-Hansen C. 2013. Investigating the use of an adjustment task to set preferred colour of ambient illumination. Color Res Appl. 38(1):46 ‐57.
   Web of Science ®Google Scholar
• Lydecker SH, Leadford KF, Ooyen CA. 2004. Lighting industry acceptance of solid state lighting. In: Ferguson IT, Narendran N, DenBaars SP, Carrano JC, editors. Proceedings of the Third International Conference on Solid State Lighting; 2003 Aug 5-2003 Aug 7; San Diego, CA. Bellingham (WA): SPIE—The International Society for Optical Engineering. p. 22 ‐33.
   Google Scholar
• Maniccia D, Rutledge B, Rea MS, Morrow W. 1999. Occupant use of manual lighting controls in private offices. Journal of the Illuminating Engineering Society. 28(2):42 ‐53.
   Web of Science ®Google Scholar
• [NEMA] National Electrical Manufacturers Association, American National Standard Lighting Group. 2011. Specifications for the chromaticity of solid state lighting products. New York (NY): American National Standards Institute.
   Google Scholar
• Newsham GR, Veitch JA. 2001. Lighting quality recommendations for VDT offices: a new method of derivation. Light Res Technol. 33:97 ‐116.
   Google Scholar
• Newsham GR, Veitch JA, Arsenault CD, Duval CL. 2004. Effect of dimming control on office worker satisfaction and performance. In: Proceedings of the IESNA Annual Conference; 2004 July 26-28; Tampa, FL. New York (NY): Illuminating Engineering Society of North America. p. 19 ‐41.
   Google Scholar
• Ohno Y. 2014. Practical use and calculation of CCT and Duv. Leukos. 10(1):1 ‐9.
   Web of Science ®Google Scholar
• Ohno Y, Davis W. 2010. NIST CQS simulator. (Version 9.0.1). Gaithersburg (MD): National Institute for Standards and Technology.
   Google Scholar
• Pineault N, Dubois M-C. 2008. Effect of window glazing type on daylight quality: scale model study of a living room under natural sky. Leukos. 5(2):83 ‐99.
   Web of Science ®Google Scholar
• Quellman EM, Boyce PR. 2002. The light source color preferences of people of different skin tones. Journal of the Illuminating Engineering Society. 31(1):109 ‐116.
   Web of Science ®Google Scholar
• ShevellSK.. 2001. The time course of chromatic adaptation. Color Res Appl. 26(Suppl.):S170 ‐S173.
   Google Scholar
• Tabachnick BG, Fidell LS. 2001. Using multivariate statistics. 4th ed. Boston (MA): Allyn & Bacon. 966 p.
   Google Scholar
• Veitch JA, McColl SL. 2001. A critical examination of perceptual and cognitive effects attributed to full-spectrum fluorescent lighting. Ergonomics. 44(3):255 ‐279.
   PubMed Web of Science ®Google Scholar
• Veitch JA, Newsham GR. 2000. Preferred luminous conditions in open-plan offices: research and practice recommendations. Light Res Technol. 32:199 ‐212.
   Google Scholar
• Veitch JA, Newsham GR, Boyce PR, Jones CC. 2008. Lighting appraisal, well-being, and performance in open-plan offices: a linked mechanisms approach. Light Res Technol. 40(2):133 ‐151.
   Web of Science ®Google Scholar
• Veitch JA, Newsham GR, Mancini S, Arsenault CD. 2010. Lighting and office renovation effects on employee and organizational well-being. Ottawa (Canada): NRC Institute for Research in Construction. No. NRC-IRC RR-306.
   Google Scholar
• Veitch JA, Stokkermans MGM, Newsham GR. 2013. Linking lighting appraisals to work behaviors. Environ Behav. 45(2):198 ‐214.
   Web of Science ®Google Scholar
• Veitch JA, Tiller DK, Pasini IC, Arsenault CD, Jaekel RR, Svec JM. 2002. The effects of fluorescent lighting filters on skin appearance and visual performance. Journal of the Illuminating Engineering Society. 31(1):40 ‐60.
   Web of Science ®Google Scholar
• Viénot F, Durand M-L, Mahler E. 2009. Kruithof’s rule revisited using LED illumination. J Mod Opt. 56(13):1433 ‐1446.
   Web of Science ®Google Scholar
• Žukauskas A, Vaicekauskas R, Vitta P, Tuzikas A, Petrulis A, Shur MS. 2012. Color rendition engine. Opt Express. 20(5):5356 ‐5367.
   PubMed Web of Science ®Google Scholar