Methodological proposal for measuring glare in indoor environments using four eye openness ranges
DOI:
https://doi.org/10.22320/07190700.2024.14.01.01Keywords:
glare, visual comfort, eye indicatorsAbstract
The development of glare models contributes to a better assessment of occupant’s visual comfort in indoor spaces. Eye indicators can dynamically assess glare in sunny climates to avoid visual discomfort. In this work, an eye tracker measures the degree of eye openness in four ranges (occlusion, semi-occlusion, semi-openness, and openness). This work aimed to evaluate how the degree of eye openness is related to vertical illuminance levels (Ev) below 2484 lx (value where the sensation of bothersome glare appears), as well as to determine whether people’s subjective perception of glare follows the glare ranges proposed by Wienold (2019). These parameters were measured in three conditions of perceived glare (noticeable, disturbing, and intolerable). The results showed that the measurement of eye openness in four ranges has the potential to objectively and dynamically quantify the sensation of glare in all the scenarios evaluated. Regarding its relationship with the reference Ev values, the values perceived as noticeable and disturbing were lower than the reference values, while the values perceived as intolerable coincided.
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ABD-ALHAMID, F., KENT, M., y WU, Y. (2023). Quantifying window view quality: A review on view perception assessment and representation methods. Building and Environment, 227, 109742. https://www.sciencedirect.com/science/article/pii/S0360132322009726?via%3Dihub
ARIES, M. B. C., VEITCH, J. A., y NEWSHAM, G. R. (2010). Windows, view, and office characteristics predict physical and psychological discomfort. Journal of Environmental Psychology, 30(4), 533–541. https://doi.org/10.1016/j.jenvp.2009.12.004
BAZAREVSKY, V., KARTYNNIK, Y., VAKUNOV, A., RAVEENDRAN, K., y GRUNDMANN, M. (2019). Blazeface: Sub-millisecond neural face detection on mobile gpus. ArXiv Preprint ArXiv:1907.05047. https://arxiv.org/abs/1907.05047
BERMAN, S. M., BULLIMORE, M. A., JACOBS, R., BAILEY, I. L., y GANDHI, N. (1993). An Objective-Measure of Discomfort Glare. 1993 IESNA Annual Conference. https://www.tandfonline.com/doi/abs/10.1080/00994480.1994.10748079
BOYCE, P. R. (2003). Human factors in lighting. Crc Press.
CIE S 017/E:2020. (2020). ILV: International Lighting Vocabulary, 2nd Edition. https://cie.co.at/publications/ilv-international-lighting-vocabulary-2nd-edition-0
DILAURA, D. L. (2010). A New Lighting Handbook. LEUKOS 6(4), 256–258. Taylor & Francis. https://doi.org/10.1080/15502724.2010.10732125
DOUGHTY, M. J. (2014). Spontaneous eyeblink activity under different conditions of gaze (eye position) and visual glare. Graefe’s Archive for Clinical and Experimental Ophthalmology, 252, 1147–1153. https://doi.org/10.1007/s00417-014-2673-8
FOTIOS, S., y KENT, M. (2021). Measuring discomfort from glare: Recommendations for good practice. Leukos, 17(4), 338–358. https://eprints.whiterose.ac.uk/165602/3/fotios%20kent%202020%20measuring%20discomfort%20AUTHORS%20FINAL%20VERSION.pdf
HAMEDANI, Z., SOLGI, E., SKATES, H., HINE, T., FERNANDO, R., LYONS, J., y DUPRE, K. (2019). Visual discomfort and glare assessment in office environments: A review of light-induced physiological and perceptual responses. Building and Environment, 153, 267–280. https://doi.org/10.1016/j.buildenv.2019.02.035
HAMEDANI, Z., SOLGI, E., HINE, T., SKATES, H., ISOARDI, G., y FERNANDO, R. (2020a). Lighting for work: A study of the relationships among discomfort glare, physiological responses and visual performance. Building and Environment, 167, 106478. https://doi.org/10.1016/j.buildenv.2019.106478
HAMEDANI, Z., SOLGI, E., HINE, T., y SKATES, H. (2020b). Revealing the relationships between luminous environment characteristics and physiological, ocular and performance measures: An experimental study. Building and Environment, 172, 106702. https://doi.org/10.1016/j.buildenv.2020.106702
HOPKINSON, R. G. (1950). The multiple criterion technique of subjective appraisal. Quarterly Journal of Experimental Psychology, 2(3), 124–131. https://journals.sagepub.com/doi/10.1080/17470215008416585
HOPKINSON, R. G. (1957). Evaluation of glare. Illuminating Engineering, 52(6), 305–316. https://www.brikbase.org/sites/default/files/ies_038.pdf
JOHRA, H., GADE, R., POULSEN, M. Ø., CHRISTENSEN, A. D., KHANIE, M. S., MOESLUND, T., y JENSEN, R. L. (2021). Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants. Journal of Physics: Conference Series, 2042(1), 12008. https://iopscience.iop.org/article/10.1088/1742-6596/2042/1/012008
KOKOSCHKA, S., y HAUBNER, P. (1985). Luminance ratios at visual display workstations and visual performance. Lighting Research & Technology, 17(3), 138–144. https://doi.org/10.1177/14771535850170030101
LIN, Y., FOTIOS, S., WEI, M., LIU, Y., GUO, W., y SUN, Y. (2015). Eye movement and pupil size constriction under discomfort glare. Investigative Ophthalmology & Visual Science, 56(3), 1649–1656. https://doi.org/10.1167/iovs.14-15963
LUCKIESH, M., y GUTH, S. K. (1949). Brightness in the visual field at the borderline between comfort and discomfort (BCD). Illuminating Engineering, 44, 650–670. https://www.brikbase.org/sites/default/files/ies_035_0.pdf
MATHEW, V., KURIAN, C. P., VARGHESE, S. G., PRIYADARSHINI, K., y BHANDARY, S. S. (2023). Real-time investigations and simulation on the impact of lighting ambience on circadian stimulus. Arabian Journal for Science and Engineering, 48(5), 6703–6716. https://link.springer.com/article/10.1007/s13369-022-07510-0
OSTERHAUS, W. K. E. (1996). Discomfort glare from large area glare sources at computer workstations. In Proceedings for the 1996 International Daylight Workshop, Building with Daylight: Energy-Efficient Design., (pp. 103–110). https://www.researchgate.net/publication/323350484_Review_of_Factors_Influencing_Discomfort_Glare_Perception_from_Daylight
OSTERHAUS, W. K E, y BAILEY, I. L. (1992). Large area glare sources and their effect on visual discomfort and visual performance at computer workstations. Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting, 1825–1829. https://www.osti.gov/servlets/purl/10125235.
PERERA, A. (2023). Hawthorne effect: Definition, how it works, and how to avoid it. Simply Psychology. https://www.simplypsychology.org/hawthorne-effect.html
PIERSON, C., WIENOLD, J., y BODART, M. (2017). Discomfort glare perception in daylighting: influencing factors. Energy Procedia, 122, 331–336. https://doi.org/10.1016/j.egypro.2017.07.332
QUEK, G., JAIN, S., KARMANN, C., PIERSON, C., WIENOLD, J., y ANDERSEN, M. (2023). Comparison of questionnaire items for discomfort glare studies in daylit spaces. Lighting Research & Technology, 14771535231203564. http://dx.doi.org/10.1177/14771535231203564
QUEK, G., WIENOLD, J., KHANIE, M. S., ERELL, E., KAFTAN, E., TZEMPELIKOS, A., KONSTANTZOS, I., CHRISTOFFERSEN, J., KUHN, T., y ANDERSEN, M. (2021). Comparing performance of discomfort glare metrics in high and low adaptation levels. Building and Environment, 206, 108335. https://doi.org/10.1016/j.buildenv.2021.108335
RODRIGUEZ, R. G., GARRETÓN, J. A. Y., y PATTINI, A. E. (2017). An epidemiological approach to daylight discomfort glare. Building and Environment, 113, 39–48. http://dx.doi.org/10.1016/j.buildenv.2016.09.028
SAREY KHANIE, M. (2015). Human Responsive Daylighting in Offices: a Gaze-driven Approach for Dynamic Discomfort Glare Assessment. Ecole polytechnique federale de Lausanne. http://thedaylightsite.com/human-responsive-daylighting-in-offices/
SAREY KHANIE, M., STOLL, J., MENDE, S., WIENOLD, J., EINHÄUSER, W., y ANDERSEN, M. (2013). Uncovering relationships between view direction patterns and glare perception in a daylit workspace. https://www.researchgate.net/publication/280728553_Uncovering_relationships_between_view_direction_patterns_and_glare_perception_in_a_daylit_workspace
SHARAM, L. A., MAYER, K. M., y BAUMANN, O. (2023). Design by nature: The influence of windows on cognitive performance and affect. Journal of Environmental Psychology, 85, 101923. https://doi.org/10.1016/j.jenvp.2022.101923
SHIN, J. Y., YUN, G. Y., y KIM, J. T. (2012). Evaluation of daylighting effectiveness and energy saving potentials of light-pipe systems in buildings. Indoor and Built Environment, 21(1), 129–136. https://doi.org/10.1177/1420326X11420011
SUK, J. Y., SCHILER, M., y KENSEK, K. (2016). Absolute glare factor and relative glare factor based metric: Predicting and quantifying levels of daylight glare in office space. Energy and Buildings, 130, 8–19. https://thuvien.huce.edu.vn/kiposdata1/baotapchi/Tapchinuocngoai/Energy%20and%20Buildings/Energy%20and%20Buildings.Vol%20130.A3.pdf
TSAO, L.-J. (2008). Driver drowsiness detection and warning under various illumination conditions.Master Tesis. Institute of Computer Science and Information Engineering National Central University Chungli.
WIENOLD, J., y 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. https://www.sciencedirect.com/science/article/abs/pii/S0378778806000715
WIENOLD, J., IWATA, T., SAREY KHANIE, M., ERELL, E., KAFTAN, E., RODRIGUEZ, R. G., YAMIN GARRETÓN, J. A., TZEMPELIKOS, T., KONSTANTZOS, I., CHRISTOFFERSEN, J., y others. (2019). Cross-validation and robustness of daylight glare metrics. Lighting Research & Technology, 51(7), 983–1013. https://journals.sagepub.com/doi/full/10.1177/1477153519826003
YAMIN GARRETÓN, J. A., RODRIGUEZ, R. G., y PATTINI, A. E. (2016). Glare indicators: an analysis of ocular behaviour in an office equipped with venetian blinds. Indoor and Built Environment, 25(1), 69–80. https://doi.org/10.1177/1420326X14538082
YAMIN GARRETÓN, J., RODRIGUEZ, R. G., RUIZ, A., y PATTINI, A. E. (2015). Degree of eye opening: A new discomfort glare indicator. Building and Environment, 88, 142–150. https://www.sciencedirect.com/science/article/abs/pii/S0360132314003631
YAN, G., y GRISHCHENKO, I. (2022). MediaPipeFace Landmark. https://www.researchgate.net/publication/364279614_MediaPipe's_Landmarks_with_RNN_for_Dynamic_Sign_Language_Recognition
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