Impacts of Lighting on Psychology, Physiology, and Productivity: Comparison
Please note this is a comparison between Version 2 by Sirius Huang and Version 1 by Yaw-Shyan Tsay.

People spend almost 90% of their time in indoor environments. Indoor environment quality has begun to play a more important role in people’s daily lives. The impact on occupants of various environmental factors of buildings has been actively studied. Among them, lighting conditions have been shown to have a significant influence on all aspects of human life and health.

  • lighting environment
  • productivity
  • satisfaction
  • lighting control

1. Background

These days, people spend almost 90% of their time in indoor environments. Indoor environment quality (IEQ) has begun to play a more important role in people’s daily lives [1,2][1][2]. The impact on occupants of various environmental factors of buildings has been actively studied [3,4][3][4]. Among them, lighting conditions have been shown to have a significant influence on all aspects of human life and health [5]. They can affect both the physiological and psychological health of people, and dynamic lighting changes have a positive impact on several aspects of human well-being, such as spatial perception, emotional state, and biological rhythm [6,7,8][6][7][8]. Although the lighting environment is influenced by numerous complicated parameters, the two main characteristics are correlated color temperature (CCT) and illuminance, which have been researched in many previous studies [9,10,11][9][10][11]. With the development of lighting research, the academic topic of building environment has not only focused on the impact of daylight and artificial lighting on building performance but also expanded to the effect of lighting on comfort, health, and work productivity [12,13,14][12][13][14].
Furthermore, no uniform quantitative standard is available for CCT and illumination values in office buildings. For example, in Taiwan, the lighting standard CNS 12112 stipulates that the average illumination of the workspace in an office for writing, typing, reading, and data processing should be at least 500 lux, which is similar to the international standard CIE S 008/E-2001 [15,16][15][16]. However, in Japan, the illuminance is required to be in the range of 500 to 750 lux in ordinary offices, while the British Institute of Lighting Engineering recommends 750 lux for designing and typing in offices. The WELL building standard is a health building-design standard for different categories issued by the international WELL building institute in 2014 [17]. WELL also has many regulations for lighting, such as visual lighting design, circadian lighting design, low-glare design, etc. In WELL, for all workstations, electric lights need to maintain illuminance on the vertical plane facing forward (to simulate the view of the occupant) of 150 equivalent melanopic lux (EML) or greater. According to the International Commission on Illumination (CIE), the illuminance produced by light-emitting diode (LED) lamps needs to consider the spectral mismatch correction factor (SMCF) [18,19][18][19]. It can correct the measurement error of the luxmeter because the spectral sensitivity of the luxmeter does not completely match the required one and may vary with different instruments [20]. Meanwhile, when evaluating LED lamps, not only CCT but also chromaticity point and binning should be considered [21].

2. Research on the Impacts of Lighting

Numerous studies have shown that a light environment can directly influence work efficiency through visual effects while indirectly affecting people’s attention, enthusiasm, and arousal level. Sun et al. [22] found that the illumination on the work plane had the most significant impact on visual comfort, and the CCT of the light ranks second. Ishii et al. [23] found that the task performance of the subjects under high CCT (6200 K) was better than that of normal CCT (5000 K). Figueiro et al. [24] suggested that appropriate light application could promote circadian rhythm and improve alertness. Chraibi et al. proposed that the sensor-triggered lighting control strategy could solve the problem of energy-saving use of electric lighting without affecting the user experience. Huang et al. [25] found that subjects preferred whiter illumination when the CCT value was between 2500 K and 5500 K. Furthermore, Dangol et al. [26] found that in an office, workers preferred 500 lux rather than 300 lux illuminance for working and a CCT of 4000 K rather than 6500 K under the lighting condition of 500 lux.
Jihyun et al. [27] proposed that the illuminance level of 406 lux for the work surface reaches the best satisfaction level in contemporary office environments. Hviid et al. [28] changed the lighting situation from 2900 K–450 lux to 4900 K–750 lux and found that the processing speed, concentration level, and mathematical skills of pupils improved significantly. Shamsul et al. [29] indicated that their subjects preferred the CCT of 4000 K, but the best subjective attention level, including the correct rate of typing and execution ability, was at a CCT of 6500 K. Houser et al. [30] pointed out that when designing light strategies, circadian rhythm, neuroendocrine, and neurobehavioral responses were as important to human health as visual responses. Zhai et al. [31] indicated that illumination had a greater impact on visual perception than CCT. Islam et al. [32] proposed that staff tended to have task illuminance of 500 lux to 300 lux and CCT of 4000 K to 6500 K. Veitch et al. [33] pointed out that higher-quality office lighting could make subjects have more pleasant mood and happiness. Ye et al. [34] suggested that the subjects showed better performance and the higher alertness under the illumination of higher CCT range. Park et al. [35] indicated that the occupants prefer a different CCT according to the function of the space, as well as that a changeable CCT was better than a fixed CCT for subjects.
The relationship between physiological changes and the light environment has also been studied by many researchers. The electroencephalograph (EEG) and electrocardiogram (ECG) have been widely applied in subjective sensory and cognitive tasks, which can be used as an objective index to support traditional subjective methods and productivity evaluation [36,37][36][37]. Baek et al. [38] found that blue light (short wavelength) significantly reduced EEG alpha activity but increased work productivity after lunch. Michal et al. [39] confirmed that short-wavelength light could enhance cognitive efficiency in task-specific scenarios. Eroglu et al. [40] proposed that the types and luminance of visual stimuli can be revealed by changing the activity power of the brain. Yosuke et al. [41] suggested that the power in the alpha frequency range of brain waves decreased significantly after half an hour of exposure to both short- and long-wavelength light. Lasauskaite et al. [42] increased CCT from 2800 K to 6500 K and found that the average heart rate decreased by almost 1.5 beats per minute (bpm). Omidvar et al. [43] compared different CCT conditions and indicated that the activation of non-visual photoreceptors could lead to melatonin inhibition, thus increasing heart rate and warmth. Other recent research is summarized in Table 1, including experimental details and research points.
Table 1. Representative experiments in lighting research literature.

References

  1. Elsaid, A.M.; Ahmed, M.S. Indoor Air Quality Strategies for Air-Conditioning and Ventilation Systems with the Spread of the Global Coronavirus (COVID-19) Epidemic: Improvements and Recommendations. Environ. Res. 2021, 199, 111314.
  2. Agarwal, N.; Meena, C.S.; Raj, B.P.; Saini, L.; Kumar, A.; Gopalakrishnan, N.; Kumar, A.; Balam, N.B.; Alam, T.; Kapoor, N.R.; et al. Indoor air quality improvement in COVID-19 pandemic: Review. Sustain. Cities Soc. 2021, 70, 102942.
  3. Kim, J.; Hong, T.; Lee, M.; Jeong, K. Analyzing the real-time indoor environmental quality factors considering the influence of the building occupants’ behaviors and the ventilation. Build. Environ. 2019, 156, 99–109.
  4. Schiavon, S.; Altomonte, S. Influence of factors unrelated to environmental quality on occupant satisfaction in LEED and non-LEED certified buildings. Build. Environ. 2014, 77, 148–159.
  5. Gerhardsson, K.M.; Laike, T. User acceptance of a personalised home lighting system based on wearable technology. Appl. Ergon. 2021, 96, 102941.
  6. Kakitsuba, N. Comfortable indoor lighting conditions for LED lights evaluated from psychological and physiological responses. Appl. Ergon. 2020, 82, 102941.
  7. Wang, Y.; Huang, H.; Chen, G. Effects of lighting on ECG, visual performance and psychology of the elderly. Optik (Stuttg) 2020, 203, 164063.
  8. Papinutto, M.; Nembrini, J.; Lalanne, D. “Working in the dark?” investigation of physiological and psychological indices and prediction of back-lit screen users’ reactions to light dimming. Build. Environ. 2020, 186, 107356.
  9. Wang, Y.; Liu, Q.; Gao, W.; Pointer, M.R.; Huang, Z.; Chen, W.; Wu, J. Interactive effect of illuminance and correlated colour temperature on colour preference and degree of white light sensation for Chinese observers. Optik (Stuttg) 2020, 224, 165675.
  10. Kang, S.Y.; Youn, N.; Yoon, H.C. The self-regulatory power of environmental lighting: The effect of illuminance and correlated color temperature. J. Environ. Psychol. 2019, 62, 30–41.
  11. Truong, W.; Zandi, B.; Trinh, V.Q.; Khanh, T.Q. Circadian metric—Computation of circadian stimulus using illuminance, correlated colour temperature and colour rendering index. Build. Environ. 2020, 184, 107146.
  12. Elnaklah, R.; Walker, I.; Natarajan, S. Moving to a green building: Indoor environment quality, thermal comfort and health. Build. Environ. 2021, 191, 107592.
  13. McCunn, L.J.; Kim, A.; Feracor, J. Reflections on a retrofit: Organizational commitment, perceived productivity and controllability in a building lighting project in the United States. Energy Res. Soc. Sci. 2018, 38, 154–164.
  14. Aslanoğlu, R.; Pracki, P.; Kazak, J.K.; Ulusoy, B.; Yekanialibeiglou, S. Short-term analysis of residential lighting: A pilot study. Build. Environ. 2021, 196, 107781.
  15. Taiwan Economic Ministry. CNS 12112 Lighting of Indoor Work Places; Standard Inspection Bureau of the Ministry of Economic Affairs: Taipei, Taiwan, 2012.
  16. International Commission on Illumination. CIE S 008/E-2001 Lighting of Indoor Work Places; International Commission on Illumination: Vienna, Austria, 2002.
  17. International WELL Building Institute. WELL Building Standard v2; International WELL Building Institute: New York, NY, USA, 2022.
  18. Kokka, A.; Pulli, T.; Poikonen, T.; Schneider, T.; Ferrero, A.; Stuker, F.; Blattner, P.; Pons, A.; Ikonen, E. Definition of a Spectral Mismatch Index for Spectral Power Distributions. In Proceedings of the 29th Quadrennial Session of the CIE, Washington, DC, USA, 14–22 June 2019; pp. 85–92.
  19. Czyżewski, D.; Fryc, I. The Influence of Luminaire Photometric Intensity Curve Measurements Quality on Road Lighting Design Parameters. Energies 2020, 13, 3301.
  20. Fryc, I.; Tabaka, P. The influence of different photometric observers on luxmeter accuracy for LEDs and FLs lamps measurements. Opt. Appl. 2019, 49, 345–354.
  21. Supronowicz, R.; Fan, J.; Listowski, M.; Watras, A.; Fryc, I. Application of different metrics for describing light color quality of a white LED. Photonics Lett. Pol. 2021, 13, 31–33.
  22. Sun, C.; Lian, Z. Sensitive physiological indicators for human visual comfort evaluation. Light. Res. Technol. 2016, 48, 726–741.
  23. Ishii, H.; Kanagawa, H.; Shimamura, Y.; Uchiyama, K.; Miyagi, K.; Obayashi, F.; Shimoda, H. Intellectual productivity under task ambient lighting. Light. Res. Technol. 2018, 50, 237–252.
  24. Figueiro, M.G.; Steverson, B.; Heerwagen, J.; Yucel, R.; Roohan, C.; Sahin, L.; Kampschroer, K.; Rea, M.S. Light, entrainment and alertness: A case study in offices. Light. Res. Technol. 2020, 52, 736–750.
  25. Huang, Z.; Liu, Q.; Pointer, M.R.; Luo, M.R.; Wu, B.; Liu, A. White lighting and colour preference, Part 1: Correlation analysis and metrics validation. Light. Res. Technol. 2020, 52, 5–22.
  26. Dangol, R.; Islam, M.S.; Hyvärinen, M.; Bhushal, P.; Puolakka, M.; Halonen, L. User acceptance studies for LED office lighting: Preference, naturalness and colourfulness. Light. Res. Technol. 2015, 47, 36–53.
  27. Park, J.; Loftness, V.; Aziz, A.; Wang, T.H. Strategies to achieve optimum visual quality for maximum occupant satisfaction: Field study findings in office buildings. Build. Environ. 2021, 195, 107458.
  28. Hviid, C.A.; Pedersen, C.; Dabelsteen, K.H. A field study of the individual and combined effect of ventilation rate and lighting conditions on pupils’ performance. Build. Environ. 2020, 171, 106608.
  29. Shamsul, B.M.; Sia, C.C.; Ng, Y.; Karmegan, K. Effects of Light’s Colour Temperatures on Visual Comfort Level, Task Performances, and Alertness among Students. Am. J. Public Health Res. 2013, 1, 159–165.
  30. Houser, K.W.; Boyce, P.R.; Zeitzer, J.M.; Herf, M. Human-centric lighting: Myth, magic or metaphor? Light. Res. Technol. 2021, 53, 97–118.
  31. Zhai, Q.Y.; Luo, M.R.; Liu, X.Y. The impact of illuminance and colour temperature on viewing fine art paintings under LED lighting. Light. Res. Technol. 2015, 47, 795–809.
  32. Islam, M.S.; Dangol, R.; Hyvärinen, M.; Bhusal, P.; Puolakka, M.; Halonen, L. User acceptance studies for LED office lighting: Lamp spectrum, spatial brightness and illuminance. Light. Res. Technol. 2015, 47, 54–79.
  33. Veitch, J.A.; Newsham, G.R.; Boyce, P.R.; Jones, C.C. Lighting appraisal, well-being and performance in open-plan offices: A linked mechanisms approach. Light. Res. Technol. 2008, 40, 133–148.
  34. Ye, M.; Zheng, S.Q.; Wang, M.L.; Luo, M.R. The effect of dynamic correlated colour temperature changes on alertness and performance. Light. Res. Technol. 2018, 50, 1070–1081.
  35. Park, B.C.; Chang, J.H.; Kim, Y.S.; Jeong, J.W.; Choi, A.S. A study on the subjective response for corrected colour temperature conditions in a specific space. Indoor Built Environ. 2010, 19, 623–637.
  36. Tobore, I.; Kandwal, A.; Li, J.; Yan, Y.; Omisore, O.M.; Enitan, E.; Sinan, L.; Yuhang, L.; Wang, L.; Nie, Z. Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach. Knowl. -Based Syst. 2020, 209, 106464.
  37. Zhao, R.; Xia, Y.; Wang, Q. Dual-modal and multi-scale deep neural networks for sleep staging using EEG and ECG signals. Biomed. Signal Process. Control 2021, 66, 102455.
  38. Baek, H.; Min, B.K. Blue light aids in coping with the post-lunch dip: An EEG study. Ergonomics 2015, 58, 803–810.
  39. Šmotek, M.; Vlček, P.; Saifutdinova, E.; Kopřivová, J. Objective and Subjective Characteristics of Vigilance under Different Narrow-Bandwidth Light Conditions: Do Shorter Wavelengths Have an Alertness-Enhancing Effect? Neuropsychobiology 2019, 78, 238–248.
  40. Eroğlu, K.; Kayıkçıoğlu, T.; Osman, O. Effect of brightness of visual stimuli on EEG signals. Behav. Brain Res. 2020, 382, 112486.
  41. Okamoto, Y.; Rea, M.S.; Figueiro, M.G. Temporal dynamics of EEG activity during short- and long-wavelength light exposures in the early morning. BMC Res. Notes 2014, 7, 113.
  42. Lasauskaite, R.; Cajochen, C. Influence of lighting color temperature on effort-related cardiac response. Biol. Psychol. 2018, 132, 64–70.
  43. Omidvar, A.; Brambilla, A. A novel theoretical method for predicting the effects of lighting colour temperature on physiological responses and indoor thermal perception. Build. Environ. 2021, 203, 108062.
  44. Deng, M.; Wang, X.; Menassa, C.C. Measurement and prediction of work engagement under different indoor lighting conditions using physiological sensing Min. Build. Environ. 2021, 203, 108098.
  45. Yang, Y.; Hu, L.; Zhang, R.; Zhu, X.; Wang, M. Investigation of students’ short-term memory performance and thermal sensation with heart rate variability under different environments in summer. Build. Environ. 2021, 195, 107765.
  46. Lu, M.; Hu, S.; Mao, Z.; Liang, P.; Xin, S.; Guan, H. Research on work efficiency and light comfort based on EEG evaluation method. Build. Environ. 2020, 183, 107122.
  47. Yu, H.; Akita, T. The effect of illuminance and correlated colour temperature on perceived comfort according to reading behaviour in a capsule hotel. Build. Environ. 2019, 148, 384–393.
  48. Lashina, T.; van der Vleuten-Chraibi, S.; Despenic, M.; Shrubsole, P.; Rosemann, A.; van Loenen, E. A comparison of lighting control strategies for open offices. Build. Environ. 2019, 149, 68–78.
  49. Ru, T.; de Kort, Y.A.W.; Smolders, K.C.H.J.; Chen, Q.; Zhou, G. Non-image forming effects of illuminance and correlated color temperature of office light on alertness, mood, and performance across cognitive domains. Build. Environ. 2019, 149, 253–263.
  50. Huang, Z.; Liu, Q.; Liu, Y.; Pointer, M.R.; Luo, M.R.; Wang, Q.; Wu, B. Best lighting for jeans, part 1: Optimising colour preference and colour discrimination with multiple correlated colour temperatures. Light. Res. Technol. 2019, 51, 1208–1223.
  51. Te Kulve, M.; Schlangen, L.; van Marken Lichtenbelt, W. Interactions between the perception of light and temperature. Indoor Air 2018, 28, 881–891.
  52. De Bakker, C.; Aarts, M.; Kort, H.; Rosemann, A. The feasibility of highly granular lighting control in open-plan offices: Exploring the comfort and energy saving potential. Build. Environ. 2018, 142, 427–438.
  53. Smolders, K.C.H.J.; de Kort, Y.A.W. Investigating daytime effects of correlated colour temperature on experiences, performance, and arousal. J. Environ. Psychol. 2017, 50, 80–93.
  54. Huebner, G.M.; Shipworth, D.T.; Gauthier, S.; Witzel, C.; Raynham, P.; Chan, W. Saving energy with light? Experimental studies assessing the impact of colour temperature on thermal comfort. Energy Res. Soc. Sci. 2016, 15, 45–57.
  55. De Korte, E.M.; Spiekman, M.; Hoes-van Oeffelen, L.; van der Zande, B.; Vissenberg, G.; Huiskes, G.; Kuijt-Evers, L.F.M. Personal environmental control: Effects of pre-set conditions for heating and lighting on personal settings, task performance and comfort experience. Build. Environ. 2015, 86, 166–176.
  56. Huang, R.H.; Lee, L.; Chiu, Y.A.; Sun, Y. Effects of correlated color temperature on focused and sustained attention under white LED desk lighting. Color Res. Appl. 2015, 40, 281–286.
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