Open Access
Issue
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
Article Number 05042
Number of page(s) 6
Section Health, Wellbeing, and Human Behaviors in the Built Environment
DOI https://doi.org/10.1051/e3sconf/202671605042
Published online 09 June 2026
  1. Lucas, R.J., Peirson, S.N., Berson, D.M., Brown, T.M., Cooper, H.M., Czeisler, C.A., … & Brainard, G.C. (2014). Measuring and using light in the melanopsin age. Trends in Neurosciences, 37(1), 1–9. [CrossRef] [PubMed] [Google Scholar]
  2. Berson, D.M., Dunn, F.A., & Takao, M. (2002). Phototransduction by retinal ganglion cells that set the circadian clock. Science, 295(5557), 1070–1073. [Google Scholar]
  3. Panda, S., Sato, T.K., Castrucci, A.M., Rollag, M.D., DeGrip, W.J., Hogenesch, J.B., … & Van Gelder, R.N. (2002). Melanopsin (Opn4) requirement for normal light-induced circadian phase shifting. Science, 298(5601), 2213–2216. [Google Scholar]
  4. Brainard, G.C., Hanifin, J.P., Greeson, J.M., Byrne, B., Glickman, G., Gerner, E., & Rollag, M.D. (2001). Action spectrum for melatonin regulation in humans: evidence for melanopsin photoreceptor system. Journal of Neuroscience, 21(16), 6405–6412. [CrossRef] [PubMed] [Google Scholar]
  5. International Commission on Illumination. (2018). CIE S026/E:2018 CIE System for Metrology of Optical Radiation for ipRGC-Influenced Responses to Light. Vienna: CIE Central Bureau. [Google Scholar]
  6. Rea, M.S., Figueiro, M.G., Bierman, A., & Bullough, J.D. (2010). Circadian light. Journal of circadian rhythms, 8(1), 2. [Google Scholar]
  7. Rea, M.S., & Figueiro, M.G. (2018). Light as a circadian stimulus for architectural lighting. Lighting Research & Technology, 50(4), 497–510. [Google Scholar]
  8. Brown, T.M., Brainard, G.C., Cajochen, C., Czeisler, C.A., Hanifin, J.P., Lockley, S.W., Lucas, R.J., Münch, M., O'Hagan, J.B., Peirson, S.N., Price, L.L.A., Roenneberg, T., Schlangen, L.J.M., Skene, D.J., Spitschan, M., Vetter, C., Zee, P.C., & Wright, K.P., Jr (2022). Recommendations for daytime, evening, and nighttime indoor light exposure to best support physiology, sleep, and wakefulness in healthy adults. PLoS biology, 20(3), e3001571. [Google Scholar]
  9. Ashton, A., Foster, R.G., & Jagannath, A. (2022). Photic Entrainment of the Circadian System. International journal of molecular sciences, 23(2), 729. [Google Scholar]
  10. Roy, U., Heredia-Munoz, M.T., Stute, L., Höfling, C., Matysik, J., Meijer, J.H., Roßner, S., & Alia, A. (2019). Degeneration of the Suprachiasmatic Nucleus in an Alzheimer's Disease Mouse Model Monitored by in vivo Magnetic Resonance Relaxation Measurements and Immunohistochemistry. Journal of Alzheimer's disease : JAD, 69(2), 363–375. [Google Scholar]
  11. Riemersma-van der Lek, R.F., Swaab, D.F., Twisk, J., Hol, E.M., Hendricks, W.G., & Van Someren, E.J. (2008). Effect of bright light and melatonin on cognitive and noncognitive function in elderly residents of group care facilities: A randomized controlled trial. JAMA, 299(22), 2642–2655. [Google Scholar]
  12. Figueiro, M.G., Plitnick, B., Lok, A., Jones, G.E., Higgins, P., Hornick, T.R., & Rea, M.S. (2014). Tailored lighting intervention improves measures of sleep, depression, and agitation in persons with Alzheimer’s disease and related dementia living in long-term care facilities. Clinical Interventions in Aging, 9, 1527–1537. [Google Scholar]
  13. Juda, M., Liu-Ambrose, T., Feldman, F., Suvagau, C., & Mistlberger, R.E. (2020). Light in the Senior Home: Effects of Dynamic and Individual Light Exposure on Sleep, Cognition, and Well-Being. Clocks & sleep, 2(4), 557–576. [Google Scholar]
  14. Emad, Y., Neef, S.P., Taylor, L., Kerse, N., Cavadino, A., Moyes, S.A., Comber, K., Wu, X.S., Molloy, J., & Bacon, C.J. (2024). Shedding Light on Falls: The Effect of Lighting Levels on Fall Risk in Long-Term Residential Care Facilities. Journal of Applied Gerontology, 44(8), 1318–1327. [Google Scholar]
  15. Figueiro, M.G., Sahin, L., Kalsher, M., Plitnick, B., & Rea, M.S. (2020). Long-Term, All-Day Exposure to Circadian-Effective Light Improves Sleep, Mood, and Behavior in Persons with Dementia. Journal of Alzheimer’s disease reports, 4(1), 297–312. [Google Scholar]
  16. Kavros, P.M., Clarke, T., Strug, L.J., Halperin, J.M., Dorta, N.J., & Pal, D.K. (2008). Attention impairment in rolandic epilepsy: systematic review. Epilepsia, 49(9), 1570–1580. [Google Scholar]
  17. Goudriaan, I., van Boekel, L.C., Verbiest, M.E.A., van Hoof, J., & Luijkx, K.G. (2021). Dementia Enlightened?! A Systematic Literature Review of the Influence of Indoor Environmental Light on the Health of Older Persons with Dementia in LongTerm Care Facilities. Clinical Interventions in Aging, 16, 909–937. [Google Scholar]
  18. Shochat, T., Martin, J., Marler, M., & Ancoli-Israel, S. (2000). Illumination levels in nursing home patients: effects on sleep and activity rhythms. Journal of sleep research, 9(4), 373–379. [Google Scholar]
  19. Hafiz, Dalia. (2015). Daylighting, Space, and Architecture: A Literature Review. Enquiry: A Journal for Architectural Research. 12. [Google Scholar]
  20. Lahmar, I., Cannavale, A., Martellotta, F., & Zemmouri, N. (2022). The Impact of Building Orientation and Window-to-Wall Ratio on the Performance of Electrochromic Glazing in Hot Arid Climates: A Parametric Assessment. Buildings, 12 (6), 724 [CrossRef] [Google Scholar]
  21. Christoffersen, J., Roy, N., & Mardaljevic, J. (2011). Daylighting metrics for residential buildings. Proceedings of the 27th Session of the CIE, Sun City, South Africa. [Google Scholar]
  22. Vanage, S., Chande, N., & Matusiak, B. (2023). Visual comfort and energy use reduction comparison for different shading and lighting control strategies in a small office building. Solar Energy, 264, 112044. [Google Scholar]
  23. Spitschan, M., Jain, S., Brainard, D.H., & Aguirre, G.K. (2014). Opponent melanopsin and S-cone signals in the human pupillary light response. PNAS, 111(43), 15568–15572. [Google Scholar]
  24. Weng, M., Schöllhorn, I., Kazhura, M., Cardini, B.B., & Stefani, O. (2022). Impact of Evening Light Exposures with Different Solid Angles on Circadian Melatonin Rhythms, Alertness, and Visual Comfort in an Automotive Setting. Clocks & sleep, 4(4), 607622. [Google Scholar]
  25. Gkaintatzi-Masouti, M., van Duijnhoven, J., Aarts, M.P.J., & Heynderickx, I. (2026). Including Dynamic Viewing Behavior in Determining Vertical Eye-Level Light: Does it Matter for Office Design? LEUKOS, 22(1), 26–47. [Google Scholar]
  26. Wienold, J., & Christoffersen, J. (2006). Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras. Energy and Buildings, 38(7), 743–757. [CrossRef] [Google Scholar]
  27. Choi, K., Shin, C., Kim, T., Chung, H.J., & Suk, H.J. (2019). Awakening effects of blue-enriched morning light exposure on university students' physiological and subjective responses. Scientific reports, 9(1), 345. [Google Scholar]
  28. Bordyugov, G., Abraham, U., Granada, A., Rose, P., Imkeller, K., Kramer, A., & Herzel, H. (2015). Tuning the phase of circadian entrainment. Journal of the Royal Society, Interface, 12(108), 20150282. [Google Scholar]
  29. Newman, M., Papadopoulos, I., & Sigsworth, J. (1998). Barriers to evidence-based practice. Intensive & critical care nursing, 14(5), 231–238. [Google Scholar]
  30. Ostergârd, Torben & Jensen, Rasmus & Maagaard, Steffen. (2018). A comparison of six metamodeling techniques applied to building performance simulations. Applied Energy. 211. 89–103. [Google Scholar]
  31. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. [NASA ADS] [CrossRef] [Google Scholar]
  32. Friedman, J.H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5), 1189–1232. [CrossRef] [Google Scholar]
  33. Lundberg, S.M., & Lee, S.I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems (pp. 4765–4774). [Google Scholar]

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