Open Access
Sust. Build.
Volume 6, 2023
Article Number 1
Number of page(s) 14
Section Indoor Environment Quality, Health and Thermal Comfort and Human Perception
Published online 26 June 2023
  1. A. Bellazzi, L. Bellia, G. Chinazzo, F. Corbisiero, P. D'Agostino, A. Devitofrancesco, F. Fragliasso, M. Ghellere, V. Megale, F. Salamone, Virtual reality for assessing visual quality and lighting perception: a systematic review, Build. Environ. 209 (2022) [Google Scholar]
  2. S. Fairuz Syed Fadzil, S.J. Sia, Sunlight control and daylight distribution analysis: the KOMTAR case study, Build. Environ. 39 (2004) [Google Scholar]
  3. S. Mohammad Mousavi, T. Hayat Khan, Y.-W. Lim, Impact of furniture layout on indoor daylighting performance in existing residential buildings in Malaysia, J. Daylighting 5 (2018) [Google Scholar]
  4. S.R. Perumal, F. Baharum, Design and simulation of a circadian lighting control system using fuzzy logic controller for LED lighting technology, J. Daylighting 9, 64–82 (2022) [CrossRef] [Google Scholar]
  5. Y. Hong, P. Michalatos, LumiSpace: a VR architectural daylighting design system, SA 2016-SIGGRAPH ASIA 2016 Virtual Real. Meets Phys. Real. Model, Simulating Virtual Humans Environment (2016), DOI: [CrossRef] [Google Scholar]
  6. M. Deng, X. Wang, C.C. Menassa, Measurement and prediction of work engagement under different indoor lighting conditions using physiological sensing, Build. Environ. 203 (2021) [Google Scholar]
  7. M. Marín-Doñágueda, F.J. Salgado-Remacha, S. Jarabo, V. Berdejo,J.L. Tercero, J. García Fernández, P. Pajares San Gregorio, Simultaneous optimization of circadian and color performance for smart lighting systems design, Energy Build. 252 (2021) [Google Scholar]
  8. Z. Hamedani, E. Solgi, T. Hine, H. Skates, G. Isoardi, R. Fernando, Lighting for work: a study of the relationships among discomfort glare, physiological responses and visual performance, Build. Environ. 167 (2020) [Google Scholar]
  9. IEA, Light's labour's lost, Policies for Energy-Efficient Lighting, June 2006 [Google Scholar]
  10. L.W. Mayron. J. Ott, R. Nations, E.L. Mayeon, Light, radiation and academic behavior: Initial studies on the effects of full-spectrum lighting and radiation shielding on behavior and academic performance of school children, Acad. Therapy 10, 1 (2016) [Google Scholar]
  11. I. Knez, Effects of indoor lighting on mood and cognition, J. Environ. Psychol. 15, 1 (1995) [Google Scholar]
  12. S. Kocabeya, N. Ekren, A new approach for examination of performance of interior lighting systems, Energy Build. 74 (2014) [Google Scholar]
  13. Q. Wanga, H. Xua, R. Gonga, J. Cai, Investigation of visual fatigue under LED lighting based on reading task, Optik 126 (2015) [Google Scholar]
  14. Y. Aussat, A. Rosmanis, S. Keshav, A power-efficient self-calibrating smart lighting systemEnergy Build. [Google Scholar]
  15. A.I. Samiou, L.T. Doulos, S. Zerefos, Daylighting and artificial lighting criteria that promote performance and optical comfort in preschool classrooms, Energy Build. (2021), DOI: [Google Scholar]
  16. International Commission on Illumination, CIE Position Statement on Non-Visual Effects of Light, Recommending Proper Light at the Proper Time, 2nd Edition (2019) (accessed 10-05-20) [Google Scholar]
  17. E. Brembilla, J. Mardaljevic, Climate-based daylight modelling for compliance verification: benchmarking multiple state-of-the-art methods, Build. Environ. 158 (2019) [Google Scholar]
  18. W.J.M. van Bommel, Non-visual biological effect of lighting and the practical meaning for lighting for work, Appl. Ergon. 37, 461–466 (2006) [CrossRef] [Google Scholar]
  19. N. Castilla, C. Llinaresb, F. Bisegna, V.B. Giménez, Emotional evaluation of lighting in university classrooms: a preliminary study, Front. Architect. Res. 7 (2018) [Google Scholar]
  20. Heschong Mahone Group, Daylighting in Schools, An Investigation into the Relationship Between Daylighting and Human Performance, Detailed Report (August 1999) [Google Scholar]
  21. M. Abdelhakim, Y.-W. Lim, M.Z. Kandar, Optimum glazing configurations for visual performance in Algerian classrooms under Mediterranean climate, J. Daylighting 6 (2019) [Google Scholar]
  22. P. Bertoldi, R. Werle, V. Karavezyris, P. Sebastian, The European GreenLight Programme 2000−2008, Evaluation and outlook, EUR 24303 EN- 2010 DOI: [Google Scholar]
  23. R.W. da Fonseca, F.O. Ruttkay Pereira, Metamodeling of the energy consumption of buildings with daylight harvesting − application of artificial neural networks sensitive to orientation, J. Daylighting 8 (2021) [Google Scholar]
  24. B.A.D. Marques, E.W.G. Clua, A.A. Montenegro, C.N. Vasconcelos, Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality. Computer and Graphics, Special Section on SIBGRAPI (2021) [Google Scholar]
  25. A.M. Lokman, M. Nagamachi, Design & emotion: the Kansei engineering methodology, Kansei Eng. Int. J. 9 (2009) [Google Scholar]
  26. G. Chinazzo, K. Chamilothori, J. Wienold, M. Andersen, Temperature-color interaction: subjective indoor environmental perception and physiological responses in virtual reality, Hum. Factors Int. J. 63 (2021) [Google Scholar]
  27. J.H. Ma, J.K. Lee, S.H. Cha, Effects of lighting CCT and illuminance on visual perception and task performance in immersive virtual environments, Build. Environ. 209 (2022) [Google Scholar]
  28. A. Pellegrino, V. Serra, F. Favoino, A. Astolfi, L. Giovannini, A. Clos, HIEQLab, a facility to support multi-domain human-centered research on building performance and environmental quality, in 8th International Building Physics Conference, IBPC 2021, Copenhagen, Denmark, 25–27 August 2021 (2021) [Google Scholar]
  29. A. Pellegrino, V.R.M. Lo Verso, S. Cammarano, C. Aghemo, A graphi graphical tool to predict the daylight availability within a room at the earliest design stages, in Proceedings of the CIE Centenary Conference, Towards a New Century of Light Paris, 15–16 April 2013 (2013) [Google Scholar]
  30. C. Aghemo, A. Pellegrino, L. Chiaraviglio, Assessment of discomfort glare in daylight rooms with shading devices: results from a field study and comparison with software simulation, in Proceedings of the 11th European Lighting Conferences Istanbul, Turkey, 9–11 September 2009 (2009) [Google Scholar]
  31. L. Giovannini, V.R.M. Lo Verso, F.V. Serra, GLANCE (GLare ANnual Classes Evaluation): an approach for a simplified spatial glare evaluation, Build. Environ. 186 (2020) [Google Scholar]
  32. C. Thanh, D.Y.-C. Chan, Development of a New Framework for Daylighting Simulation with Dynamic Shading Devices Purdue University (2018), [Google Scholar]
  33. A. Michael, C. Heracleous, Assessment of natural lighting performance and visual comfort of educational architecture in Southern Europe: the case of typical educational school premises in Cyprus, Energy Build. 140 (2017) [Google Scholar]
  34. V.R.M. Lo Verso, A. Pellegrino, Energy saving generated through automatic lighting control systems according to the estimation method of the standard EN 15193-1, J. Daylighting 6 (2019) [Google Scholar]
  35. S. Borri, Educational spaces and school architectures: international lines and addresses, Indire, Florence (2016) [Google Scholar]
  36. G. Vivanet, Evidence based education: a historical framework, J. Evid. Based. Soc. Work. 2, 13 (2013) [Google Scholar]
  37. G. Vivanet, What is Evidence Based Education, Carrocci Faber, Book in Italian, (2014) ISBN 9788874667017 [Google Scholar]
  38. P. Barret, F. Davies, Y. Zhang, L. Barret, The impact of classroom design on pupils' learning: final results of a holistic, multi-level analysis, Build. Environ. 89 (2015) [Google Scholar]
  39. S.M.C. Moscarda, L’Ambiente come fattore di apprendimento nella scuola dell’infanzia, UDK 37.04:37.091.6:373.2, Università Juraj Dobrila di Pola Facoltà di Scienze della Formazione (2016), available on line [Google Scholar]
  40. M. Parricchi, The approach to the design of educational environments, Pedagogia Oggi XVIII (2019) [Google Scholar]
  41. Italian Ministerial Decree 5 July 1975, Article 5, Italian Law (In Italian, Decreto ministeriale 5 luglio 1975, Articolo 5, Legge Italiana) [Google Scholar]
  42. ANSI/IES LM-83-23 Approved Method, IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) − IES LM-83-12, STANDARD by Illuminating Engineering Society, Printed in the United States of America 2012 [Google Scholar]
  43. EN 12464–1:2021. Light and lighting – Lighting of Work places- Part 1: Indoor work places. EU and Italian Standard UNI. Directive 2016/797/EU - Directive (EU) 2016/797 of the European Parliament and of the Council of 11 May 2016 on the interoperability of the rail system within the European Union (Text with EEA relevance) [Google Scholar]
  44. REVIT: BIM software for designers, builders, and doers. [Google Scholar]
  45. DIALUX EVO software, [Google Scholar]
  46. S.K. Nayar, M. Oren, Visual appearance of matte surfaces, Science. 267, 1153–1156 (1995) [Google Scholar]
  47. A. Faisman, M.S. Langer, Qualitative shape from shading, highlights, and mirror reflections, J. Vision 13, 10 (2013) [Google Scholar]
  48. M. Toscani, M. Valsecchi, K.R. Gegenfurtner, Lightness perception for matte and glossy complex shapes, Vis. Res. (2017), DOI: [Google Scholar]
  49. D.H. Brainard, L.T. Maloney, Surface color perception and equivalent illumination models, J. Vision 11 (2011) [CrossRef] [Google Scholar]
  50. EN 1519 3–1:2017, Energy performance of buildings. Energy requirements for lighting Specifications, Module M9, EU and Italian Standard UNI. Directive 2010/31/EU - Directive 2010/31/eu of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.