Abstract

On the topic of color preference of lighting, it is commonly believed that the neutral interior of a light booth has minimum impact on the color perception of the experimental object. Meanwhile, agreement has not been reached on which objects should be placed in the booth. In this study, based on a meta-analysis of eight groups of psychophysical data, we demonstrate that the “perceived color preference” obtained by consecutive visual judgement in a light booth is closely related to the lit neutral environment, while the use of different experimental objects does not markedly influence the results for lighting quality assessment. Such a finding might be attributed to the inherent features of the visual cognition process of light booth experiments and it should be fully recognized by future work.

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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  1. D. Nickerson and C. W. Jerome, “Color rendering of light sources: CIE method of specification and its application,” Illum. Eng. 60(4), 262–271 (1965).
  2. S. Jost-Boissard, C. Cauwerts, and P. Avouac, “CIE 2017 color fidelity index Rf: a better index to predict perceived color difference?” J. Opt. Soc. Am. A 35(4), B202–B213 (2018).
    [Crossref]
  3. P. Boyce, “Editorial: The meaning of preference,” Lighting Res. Technol. 49(3), 291 (2017).
    [Crossref]
  4. K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Optimal color quality of LED clusters based on memory colors,” Opt. Express 19(7), 6903–6912 (2011).
    [Crossref]
  5. R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
    [Crossref]
  6. O. Masuda and S. M. Nascimento, “Best lighting for naturalness and preference,” J. Vis. 13(7), 4 (2013).
    [Crossref]
  7. T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
    [Crossref]
  8. T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
    [Crossref]
  9. L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
    [Crossref]
  10. L. Jiang, P. Jin, and P. Lei, “Color discrimination metric based on cone cell sensitivity,” Opt. Express 23(11), A741–A751 (2015).
    [Crossref]
  11. Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
    [Crossref]
  12. K. Smet, W. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “A memory color quality metric for white light sources,” Energy Build. 49, 216–225 (2012).
    [Crossref]
  13. T. Khanh and P. Bodrogi, “Color preference, naturalness, vividness and color quality metrics, Part 3: Experiments with makeup products and analysis of the complete warm white dataset,” Lighting Res. Technol. 50(2), 218–236 (2018).
    [Crossref]
  14. Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
    [Crossref]
  15. P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
    [Crossref]
  16. K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Correlation between color quality metric predictions and visual appreciation of light sources,” Opt. Express 19(9), 8151–8166 (2011).
    [Crossref]
  17. M. Wei, K. Houser, A. David, and M. Krames, “Color gamut size and shape influence color preference,” Lighting Res. Technol. 49(8), 992–1014 (2017).
    [Crossref]
  18. Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
    [Crossref]
  19. Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
    [Crossref]
  20. S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
    [Crossref]
  21. E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
    [Crossref]
  22. Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).
  23. Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
    [Crossref]
  24. W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).
  25. Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
    [Crossref]
  26. Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
    [Crossref]
  27. S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
    [Crossref]
  28. Y. Ohno and S. Oh, “Vision experiment II on white light chromaticity for lighting,” in Proceedings of the CIE 2016 Lighting Quality and Energy Efficiency (CIE, 2016), pp. 175–184.
  29. Y. Ohno and M. Fein, “Vision experiment on acceptable and preferred white light chromaticity for lighting,” in Proceedings of the CIE 2014 Lighting Quality and Energy Efficiency (CIE, 2014), pp. 192–199.
  30. M. D. Fairchild, Color Appearance Models (JOHN WILEY & SONS, INC, 2013).
  31. M. D. Fairchild and L. Reniff, “Time course of chromatic adaptation for color-appearance judgments,” J. Opt. Soc. Am. A 12(5), 824–833 (1995).
    [Crossref]
  32. A. David, P. T. Fini, K. Houser, Y. Ohno, M. P. Royer, K. Smet, M. Wei, and L. Whitehead, “Development of the IES method for evaluating the color rendition of light sources,” Opt. Express 23(12), 15888–15906 (2015).
    [Crossref]
  33. J. P. Freyssinier and M. Rea, “A two-metric proposal to specify the color-rendering properties of light sources for retail lighting,” Proc. SPIE 7784, 77840V (2010).
    [Crossref]
  34. K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Memory colors and color quality evaluation of conventional and solid-state lamps,” Opt. Express 18(25), 26229–26244 (2010).
    [Crossref]
  35. K. Smet, G. Deconinck, and P. Hanselaer, “Chromaticity of unique white in object mode,” Opt. Express 22(21), 25830–25841 (2014).
    [Crossref]

2020 (1)

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

2019 (1)

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

2018 (5)

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

S. Jost-Boissard, C. Cauwerts, and P. Avouac, “CIE 2017 color fidelity index Rf: a better index to predict perceived color difference?” J. Opt. Soc. Am. A 35(4), B202–B213 (2018).
[Crossref]

L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
[Crossref]

T. Khanh and P. Bodrogi, “Color preference, naturalness, vividness and color quality metrics, Part 3: Experiments with makeup products and analysis of the complete warm white dataset,” Lighting Res. Technol. 50(2), 218–236 (2018).
[Crossref]

2017 (7)

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

M. Wei, K. Houser, A. David, and M. Krames, “Color gamut size and shape influence color preference,” Lighting Res. Technol. 49(8), 992–1014 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

P. Boyce, “Editorial: The meaning of preference,” Lighting Res. Technol. 49(3), 291 (2017).
[Crossref]

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

2016 (1)

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

2015 (4)

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

L. Jiang, P. Jin, and P. Lei, “Color discrimination metric based on cone cell sensitivity,” Opt. Express 23(11), A741–A751 (2015).
[Crossref]

S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
[Crossref]

A. David, P. T. Fini, K. Houser, Y. Ohno, M. P. Royer, K. Smet, M. Wei, and L. Whitehead, “Development of the IES method for evaluating the color rendition of light sources,” Opt. Express 23(12), 15888–15906 (2015).
[Crossref]

2014 (2)

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

K. Smet, G. Deconinck, and P. Hanselaer, “Chromaticity of unique white in object mode,” Opt. Express 22(21), 25830–25841 (2014).
[Crossref]

2013 (1)

O. Masuda and S. M. Nascimento, “Best lighting for naturalness and preference,” J. Vis. 13(7), 4 (2013).
[Crossref]

2012 (1)

K. Smet, W. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “A memory color quality metric for white light sources,” Energy Build. 49, 216–225 (2012).
[Crossref]

2011 (2)

2010 (2)

J. P. Freyssinier and M. Rea, “A two-metric proposal to specify the color-rendering properties of light sources for retail lighting,” Proc. SPIE 7784, 77840V (2010).
[Crossref]

K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Memory colors and color quality evaluation of conventional and solid-state lamps,” Opt. Express 18(25), 26229–26244 (2010).
[Crossref]

2009 (1)

S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
[Crossref]

1995 (1)

1965 (1)

D. Nickerson and C. W. Jerome, “Color rendering of light sources: CIE method of specification and its application,” Illum. Eng. 60(4), 262–271 (1965).

Avouac, P.

S. Jost-Boissard, C. Cauwerts, and P. Avouac, “CIE 2017 color fidelity index Rf: a better index to predict perceived color difference?” J. Opt. Soc. Am. A 35(4), B202–B213 (2018).
[Crossref]

S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
[Crossref]

Bhusal, P.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Blanc-Gonnet, J.

S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
[Crossref]

Bodrogi, P.

T. Khanh and P. Bodrogi, “Color preference, naturalness, vividness and color quality metrics, Part 3: Experiments with makeup products and analysis of the complete warm white dataset,” Lighting Res. Technol. 50(2), 218–236 (2018).
[Crossref]

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

Boyce, P.

P. Boyce, “Editorial: The meaning of preference,” Lighting Res. Technol. 49(3), 291 (2017).
[Crossref]

Burns, G. J.

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Cauwerts, C.

Chen, W.

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

Dangol, R.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

David, A.

Deconinck, G.

Dikel, E. E.

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Fairchild, M. D.

Fein, M.

Y. Ohno and M. Fein, “Vision experiment on acceptable and preferred white light chromaticity for lighting,” in Proceedings of the CIE 2014 Lighting Quality and Energy Efficiency (CIE, 2014), pp. 192–199.

Fini, P. T.

Fontoynont, M.

S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
[Crossref]

S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
[Crossref]

Freyssinier, J. P.

J. P. Freyssinier and M. Rea, “A two-metric proposal to specify the color-rendering properties of light sources for retail lighting,” Proc. SPIE 7784, 77840V (2010).
[Crossref]

Halonen, L.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Hanselaer, P.

Hou, Z.

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

Houser, K.

Huang, Z.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

Hyvärinen, M.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Islam, M. S.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Jerome, C. W.

D. Nickerson and C. W. Jerome, “Color rendering of light sources: CIE method of specification and its application,” Illum. Eng. 60(4), 262–271 (1965).

Jiang, L.

Jin, P.

Jost-Boissard, S.

S. Jost-Boissard, C. Cauwerts, and P. Avouac, “CIE 2017 color fidelity index Rf: a better index to predict perceived color difference?” J. Opt. Soc. Am. A 35(4), B202–B213 (2018).
[Crossref]

S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
[Crossref]

S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
[Crossref]

Khanh, T.

T. Khanh and P. Bodrogi, “Color preference, naturalness, vividness and color quality metrics, Part 3: Experiments with makeup products and analysis of the complete warm white dataset,” Lighting Res. Technol. 50(2), 218–236 (2018).
[Crossref]

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

Krames, M.

M. Wei, K. Houser, A. David, and M. Krames, “Color gamut size and shape influence color preference,” Lighting Res. Technol. 49(8), 992–1014 (2017).
[Crossref]

Lei, P.

Lin, Y.

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

Liu, A.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Liu, Q.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

Liu, Y.

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

Luo, M. R.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

Mancini, S.

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Masuda, O.

O. Masuda and S. M. Nascimento, “Best lighting for naturalness and preference,” J. Vis. 13(7), 4 (2013).
[Crossref]

Nascimento, S. M.

O. Masuda and S. M. Nascimento, “Best lighting for naturalness and preference,” J. Vis. 13(7), 4 (2013).
[Crossref]

Newsham, G. R.

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Nickerson, D.

D. Nickerson and C. W. Jerome, “Color rendering of light sources: CIE method of specification and its application,” Illum. Eng. 60(4), 262–271 (1965).

Oh, S.

Y. Ohno and S. Oh, “Vision experiment II on white light chromaticity for lighting,” in Proceedings of the CIE 2016 Lighting Quality and Energy Efficiency (CIE, 2016), pp. 175–184.

Ohno, Y.

A. David, P. T. Fini, K. Houser, Y. Ohno, M. P. Royer, K. Smet, M. Wei, and L. Whitehead, “Development of the IES method for evaluating the color rendition of light sources,” Opt. Express 23(12), 15888–15906 (2015).
[Crossref]

Y. Ohno and S. Oh, “Vision experiment II on white light chromaticity for lighting,” in Proceedings of the CIE 2016 Lighting Quality and Energy Efficiency (CIE, 2016), pp. 175–184.

Y. Ohno and M. Fein, “Vision experiment on acceptable and preferred white light chromaticity for lighting,” in Proceedings of the CIE 2014 Lighting Quality and Energy Efficiency (CIE, 2014), pp. 192–199.

Pointer, M. R.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

K. Smet, W. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “A memory color quality metric for white light sources,” Energy Build. 49, 216–225 (2012).
[Crossref]

K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Correlation between color quality metric predictions and visual appreciation of light sources,” Opt. Express 19(9), 8151–8166 (2011).
[Crossref]

K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Optimal color quality of LED clusters based on memory colors,” Opt. Express 19(7), 6903–6912 (2011).
[Crossref]

K. Smet, W. R. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “Memory colors and color quality evaluation of conventional and solid-state lamps,” Opt. Express 18(25), 26229–26244 (2010).
[Crossref]

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

Puolakka, M.

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Rao, L.

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

Rea, M.

J. P. Freyssinier and M. Rea, “A two-metric proposal to specify the color-rendering properties of light sources for retail lighting,” Proc. SPIE 7784, 77840V (2010).
[Crossref]

Reniff, L.

Royer, M. P.

Ryckaert, W.

K. Smet, W. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “A memory color quality metric for white light sources,” Energy Build. 49, 216–225 (2012).
[Crossref]

Ryckaert, W. R.

Smet, K.

Stojanovic, D.

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

Tsukitani, A.

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

Veitch, J. A.

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Vinh, Q.

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

Wang, Q.

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

Wang, Z.

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

Wei, M.

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

M. Wei, K. Houser, A. David, and M. Krames, “Color gamut size and shape influence color preference,” Lighting Res. Technol. 49(8), 992–1014 (2017).
[Crossref]

A. David, P. T. Fini, K. Houser, Y. Ohno, M. P. Royer, K. Smet, M. Wei, and L. Whitehead, “Development of the IES method for evaluating the color rendition of light sources,” Opt. Express 23(12), 15888–15906 (2015).
[Crossref]

Westland, S.

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

Whitehead, L.

Wu, B.

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Xiao, K.

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Q. Liu, Z. Huang, K. Xiao, M. R. Pointer, S. Westland, and M. R. Luo, “Gamut Volume Index: a color preference metric based on meta-analysis and optimized color samples,” Opt. Express 25(14), 16378–16391 (2017).
[Crossref]

Xu, H.

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

Xu, L.

L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
[Crossref]

Zhang, F.

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

Energy Build. (1)

K. Smet, W. Ryckaert, M. R. Pointer, G. Deconinck, and P. Hanselaer, “A memory color quality metric for white light sources,” Energy Build. 49, 216–225 (2012).
[Crossref]

Illum. Eng. (1)

D. Nickerson and C. W. Jerome, “Color rendering of light sources: CIE method of specification and its application,” Illum. Eng. 60(4), 262–271 (1965).

J. Mod. Opt. (1)

S. Jost-Boissard, M. Fontoynont, and J. Blanc-Gonnet, “Perceived lighting quality of LED sources for the presentation of fruit and vegetables,” J. Mod. Opt. 56(13), 1420–1432 (2009).
[Crossref]

J. Opt. Soc. Am. A (2)

J. Vis. (1)

O. Masuda and S. M. Nascimento, “Best lighting for naturalness and preference,” J. Vis. 13(7), 4 (2013).
[Crossref]

Leukos (1)

E. E. Dikel, G. J. Burns, J. A. Veitch, S. Mancini, and G. R. Newsham, “Preferred chromaticity of color-tunable LED lighting,” Leukos 10(2), 101–115 (2014).
[Crossref]

Light Eng. (1)

P. Bodrogi, T. Khanh, D. Stojanovic, and Y. Lin, “Intercultural color temperature preference of Chinese and European subjects living in Germany,” Light Eng. 24(1), 8–11 (2016).
[Crossref]

Lighting Res. Technol. (13)

T. Khanh and P. Bodrogi, “Color preference, naturalness, vividness and color quality metrics, Part 3: Experiments with makeup products and analysis of the complete warm white dataset,” Lighting Res. Technol. 50(2), 218–236 (2018).
[Crossref]

Y. Lin, M. Wei, K. Smet, A. Tsukitani, P. Bodrogi, and T. Khanh, “Color preference varies with lighting application,” Lighting Res. Technol. 49(3), 316–328 (2017).
[Crossref]

M. Wei, K. Houser, A. David, and M. Krames, “Color gamut size and shape influence color preference,” Lighting Res. Technol. 49(8), 992–1014 (2017).
[Crossref]

Z. Huang, Q. Liu, S. Westland, M. R. Pointer, M. R. Luo, and K. Xiao, “Light dominates color preference when correlated color temperature differs,” Lighting Res. Technol. 50(7), 995–1012 (2018).
[Crossref]

Z. Huang, Q. Liu, Y. Liu, M. R. Pointer, M. R. Luo, Q. Wang, and B. Wu, “Best lighting for jeans, Part 1: Optimizing color preference and color discrimination with multiple correlated color temperatures,” Lighting Res. Technol. 51(8), 1208–1223 (2019).
[Crossref]

Z. Huang, Q. Liu, M. R. Pointer, M. R. Luo, B. Wu, and A. Liu, “White lighting and color preference, part A: correlation analysis and metrics validation based on four groups of psychophysical studies,” Lighting Res. Technol. 52(1), 5–22 (2020).
[Crossref]

S. Jost-Boissard, P. Avouac, and M. Fontoynont, “Assessing the color quality of LED sources: Naturalness, attractiveness, colorfulness and color difference,” Lighting Res. Technol. 47(7), 769–794 (2015).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 1: Experiments in a room,” Lighting Res. Technol. 49(6), 697–713 (2017).
[Crossref]

T. Khanh, P. Bodrogi, Q. Vinh, and D. Stojanovic, “Color preference, naturalness, vividness and color quality metrics, Part 2: Experiments in a viewing booth and analysis of the combined dataset,” Lighting Res. Technol. 49(6), 714–726 (2017).
[Crossref]

L. Xu, M. R. Luo, and M. R. Pointer, “The development of a color discrimination index,” Lighting Res. Technol. 50(5), 681–700 (2018).
[Crossref]

P. Boyce, “Editorial: The meaning of preference,” Lighting Res. Technol. 49(3), 291 (2017).
[Crossref]

R. Dangol, M. S. Islam, M. Hyvärinen, P. Bhusal, M. Puolakka, and L. Halonen, “User acceptance studies for LED office lighting: Preference, naturalness and colorfulness,” Lighting Res. Technol. 47(1), 36–53 (2015).
[Crossref]

Q. Liu, Z. Huang, M. R. Pointer, M. R. Luo, K. Xiao, and S. Westland, “Evaluating color preference of lighting with an empty light booth,” Lighting Res. Technol. 50(8), 1249–1256 (2018).
[Crossref]

Opt. Express (7)

Optik (1)

Q. Wang, H. Xu, F. Zhang, and Z. Wang, “Influence of color temperature on comfort and preference for LED indoor lighting,” Optik 129, 21–29 (2017).
[Crossref]

Proc. SPIE (1)

J. P. Freyssinier and M. Rea, “A two-metric proposal to specify the color-rendering properties of light sources for retail lighting,” Proc. SPIE 7784, 77840V (2010).
[Crossref]

Other (5)

Y. Liu, Q. Liu, Z. Huang, M. R. Pointer, L. Rao, and Z. Hou, “Optimising color preference and color discrimination for jeans under 5500 K light sources with different Duv values,” Optik, doc. ID 163916 (posted 27 November 2019, in press).

Y. Ohno and S. Oh, “Vision experiment II on white light chromaticity for lighting,” in Proceedings of the CIE 2016 Lighting Quality and Energy Efficiency (CIE, 2016), pp. 175–184.

Y. Ohno and M. Fein, “Vision experiment on acceptable and preferred white light chromaticity for lighting,” in Proceedings of the CIE 2014 Lighting Quality and Energy Efficiency (CIE, 2014), pp. 192–199.

M. D. Fairchild, Color Appearance Models (JOHN WILEY & SONS, INC, 2013).

W. Chen, Z. Huang, L. Rao, Z. Hou, and Q. Liu, “Research on Color Visual Preference of Light Source for Black and White Objects,” LNEE (to be published).

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Figures (2)

Fig. 1.
Fig. 1. Psychophysical results of four recent studies conducted by the authors. Triangular symbols in the subplots indicate significant difference (p<0.05) between the preference scores of the empty lit booth and those of illuminated objects, revealed by a Mann-Whitney U test. Asterisks besides the Pearson correlation coefficient r denote significant correlation (p<0.05) between ratings of the lit empty booth and those of illuminated objects. “B&W” in Chen et al., (2020) means Black and White.
Fig. 2.
Fig. 2. Experimental results of Jost-Boissard et al., Labels of abscissa axis (i.e. WA, WCA, WCR…) refer to the tabs of the experimental light sources defined by those researchers, as introduced in Sections 2.5 and 2.6. Asterisks besides the Pearson correlation coefficient r represent significant correlation (p<0.05) between ratings for different experimental objects.

Tables (8)

Tables Icon

Table 1. The colorimetric properties of SPDs and their typical color quality metric values for [25]aa

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Table 2. The colorimetric properties of SPDs and their typical color quality metric values for [24]

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Table 3. The colorimetric properties of SPDs and their typical color quality metric values for [26]

Tables Icon

Table 4. The colorimetric properties of SPDs and their typical color quality metric values for [22]

Tables Icon

Table 5. The colorimetric properties of SPDs and their typical color quality metric values at 3050 K for [20]

Tables Icon

Table 6. The colorimetric properties of SPDs and their typical color quality metric values at 3950 K [20]

Tables Icon

Table 7. The colorimetric properties of SPDs and their typical color quality metric values at 3000 K for [27]

Tables Icon

Table 8. The colorimetric properties of SPDs and their typical color quality metric values at 4000 K for [27]

Metrics