Correlations between selected lighting quality metrics derived from the spectrum were computed and interpreted for a representative set of interior light source spectra. Metrics of brightness and the melanopic effect were strongly correlated with each other but not with the metrics of colour quality. Results can be used to establish a two-dimensional diagram with criterion values to ensure the general user acceptance of a lighting system. This diagram can be extended in the future by further metrics describing light intensity and spatial and temporal light distributions. Relationships between lighting quality metrics and colorimetric quantities as well as photoreceptor signal values are also shown.
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References
1.
BoyceP. Exploring human-centric lighting. Lighting Research and Technology2016; 48: 101–101.
2.
BodrogiPVinhQTKhanhTQ. Opinion: The usefulness of light sources in human centric lighting. Lighting Research and Technology2017; 49: 292–292.
3.
Khanh TQ, Vinh QT, Bodrogi P. Visual performance, emotional and non-visual effects: the fundamentals of future lighting technology: Proceedings of BioWi 2017, Weimar, Germany, 13-14 September, 2017.
4.
Bodrogi P, Khanh TQ. Human centric lighting: CIE Midterm Meeting 2017, Workshop 6, Temporal Light Artefacts in Automotive and General Lighting, Jeju, Korea, 23-25 October, 2017.
5.
ReaMSBiermanA. A new rationale for setting light source luminous efficacy requirements. Lighting Research and Technology2018; 50: 340–359.
6.
Dehoff P, Tralau B. Lighting Quality: A Process Instead of a Single Parameter. Publication of the German Lighting Society (LiTG), Berlin, 2017.
7.
ReaM. The lumen seen in a new light: Making distinctions between light, lighting and neuroscience. Lighting Research and Technology2015; 47: 259–280.
8.
KhanhTQBodrogiPVinhQTGuoXAnhTT. Color preference, naturalness, vividness and colour quality metrics, Part 4: Experiments with still life arrangements at different correlated colour temperatures. Lighting Research and Technology2018; 50: 862–879.
9.
BoycePRSmetKAG. LRT symposium ‘Better metrics for better lighting’ – a summary. Lighting Research and Technology2014; 46: 619–636.
10.
BoycePR. Editorial: What does it take to change a metric?Lighting Research and Technology2014; 46: 491–491.
11.
Bodrogi P, Khanh TQ. Visual clarity and brightness in indoor and outdoor lighting: experiments and modelling: Proceedings of the CIE Midterm Meeting, Jeju, Korea, 23-25 October, 2017.
12.
BoycePRCuttleC. Effect of correlated colour temperature on the perception of interiors and colour discrimination performance. Lighting Research and Technology1990; 22: 19–36.
13.
ReaMFigueiroMGBiermanABulloughJD. Circadian light. Journal of Circadian Rhythms2010; 8: 2–10.
14.
Deutsches Institut fur Normung, DIN SPEC 5031-100:2015-08. Optical Radiation Physics and Illuminating Engineering - Part 100: Non-visual Effects of Ocular Light on Human Beings – Quantities, Symbols and Action Spectra. Berlin: Beuth Verlag, 2015.
15.
LucasRJPeirsonSBersonDBrownTCooperHCzeislerCAFigueiroMGGamlinPDLockleySWO’HaganJBPriceLLAProvencioISkeneDJBrainardG. Measuring and using light in the melanopsin age. Trends in Neurosciences2014; 37: 1–9.
16.
GuoXHouserKW. A review of colour rendering indices and their application to commercial light sources. Lighting Research and Technology2004; 36: 183–199.
17.
KhanhTQVinhQTBodrogiP. A numerical analysis of recent colour rendition metrics. Lighting Research and Technology2017; 49: 561–573.
18.
Commission Internationale de l’Éclairage. Color Fidelity Index for Accurate Scientific Use, CIE Publication 224:2017 Vienna: CIE, 2017.
19.
DavidAFiniPTHouserKWWhiteheadL. Development of the IES method for evaluating the color rendition of light sources. Optics Express2015; 23: 15888–15906.
20.
DavisWOhnoY. Color quality scale. Optical Engineering2010; 49: 033602–033602.
21.
HouserKWWeiMDavidAKramesMRShenXS. Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition. Optics Express2013; 21: 10393–10393.
22.
VinhQTBodrogiPKhanhTQ. Preliminary measure for the characterization of the usefulness of light sources. Optics Express2018; 26: 14538–14551.
23.
Commission Internationale de l’Éclairage. Method of Measuring and Specifying Colour Rendering Properties of Light Sources, CIE Publication 13.3-1995. Vienna: CIE, 1995.
24.
FotiosSALevermoreGJ. Chromatic effect on apparent brightness in interior spaces, II: SWS lumens model. Lighting Research and Technology1998; 30: 103–106.
25.
FigueiroMGNagareRPriceLLA. Non-visual effects of light: How to use light to promote circadian entrainment and elicit alertness. Lighting Research and Technology2018; 50: 38–62.
26.
ReaMSMouXBulloughJD. Scene brightness of illuminated interiors. Lighting Research and Technology2016; 48: 823–831.
27.
HouserKWTillerDKBerneckerCAMistrickRG. The subjective response to linear fluorescent direct/indirect lighting systems. Lighting Research and Technology2002; 34: 243–264.
28.
CanazeiMDehoffPStagglaSPohlW. Effects of dynamic ambient lighting on female permanent morning shift workers. Lighting Research and Technology2014; 46: 140–156.
