Variation in visual perception under gray and green colored glazing
DOI:
https://doi.org/10.46421/entac.v19i1.2041Keywords:
Daylight, Visual perception, Spearman correlationAbstract
Vegetation changes the physical features of daylight, including its spectral distribution. This study aims to establish the relationship between visual perception and the modified daylight resulting from two types of glazing – the reference one, gray, VLT 45%, and a green one, VLT 53%, as a proxy for the effect of vegetation. In a semi-controlled room in Israel, their influence was tested on subjective variables of 29 volunteers under experimental conditions. The participants responded to a survey on light conditions, and horizontal and vertical illuminance were measured. Results suggest that both metrics are insufficient to describe participants’ visual experience.
References
DE KORT, Y. A. Tutorial: Theoretical Considerations When Planning Research on Human Factors in Lighting. LEUKOS - Journal of Illuminating Engineering Society of North America, v. 15, n. 2-3, p. 59-96, jan. 2019. DOI: https://doi.org/10.1080/15502724.2018.1558065
HESCHONG, L. Daylight metrics: final project report. California Energy Comission, 2012. Disponível em: http://h-m-g.com/DaylightPlus/Daylight_Metrics.htm. Acesso em: 13 abril 2019.
BEUTE, F.; DE KORT, Y. A. Tutorial: The natural context of wellbeing: Ecological momentary assessment of the influence of nature and daylight on affect and stress for individuals with depression levels varying from none to clinical. Health and Place, v. 49, p. 7-18, jan. 2018. DOI: https://doi.org/10.1016/j.healthplace.2017.11.005
NORWOOD, M. F.; LAKHANI, A.; MAUJEAN, A.; ZEERMAN, H.; CREUX, O.; KENDALL, E. Brain activity, underlying mood and the environment: A systematic review. Journal of Environmental Psychology, v. 65, p. 101321, 2019. DOI: https://doi.org/10.1016/j.jenvp.2019.101321.
HESCHONG, L. Visual Delight - The Importance of Views in the Workplace. Daylight Symposium and Healthy Buildings Day. 2019. Disponível em: <https://www.youtube.com/watch?v=1PKnR-OD5ew&feature=emb_title>. Acesso em: 15 abr. 2020.
BALAKRISHNAN, P.; JAKUBIEC, J. A. Spectral Rendering with Daylight: A Comparison of Two Spectral Daylight Simulation Platforms. In: 16TH IBPSA INTERNATIONAL CONFERENCE AND EXHIBITION. Proceedings […] Roma, 2019. p. 1191–1198.
MEIDENBAUER, K. L.; STENFORS, C. U. D.; YOUNG, J.; LAYDEN, E. A.; SCHERTZ, K. E.; KARDAN, O.; DECETY, J.; BERMAN, M. G. The gradual development of the preference for natural environments. Journal of Environmental Psychology, v. 65, p. 101328, jan. 2019. DOI: https://doi.org/10.1016/j.jenvp.2019.101328.
HELLINGA, H.; HORDIJK, T. The D&V analysis method: A method for the analysis of daylight access and view quality. Building and Environment, v. 79, p. 101–114, set. 2014. DOI: http://dx.doi.org/10.1016/j.buildenv.2014.04.032.
VEITCH, J. A.; GALASIU, A. D. The physiological and psychological effects of windows, daylight and view at home. National Research Council of Canada, 2011. Disponível em: https://nrc-publications.canada.ca/eng/view/object/?id=06e1364d-71f3-4766-8ac8-f91da5576358. Acesso em: 20 mai. 2022.
FERNANDES, L. C.; KRÜGER, E. L.; MOTZAFI-HALLER, W. Experimentos de campo com teto-reservatório e painéis para resfriamento radiante em uma edificação-teste. Ambiente Construído, v. 21, n. 1, p. 357-384, jan. – mar. 2021. DOI: https://doi.org/10.1590/s1678-86212021000100509.
ERELL, E.; KAFTAN, E.; MOTZAFI-HALLER, W. Daylighting for visual comfort and energy conservation in offices in sunny locations: Final scientific report. Israel Ministry of National Infrastructures. 2011.
TARTARINI, F., SCHIAVON, S., CHEUNG, T., HOYT, T., 2020. CBE Thermal Comfort Tool: an online tool for thermal comfort calculations and visualizations. SoftwareX v. 12, p. 100563, jul. – dez. 2020. DOI: https://doi.org/10.1016/j.softx.2020.100563
EPSTEIN, Y.; MORAN, D. S. Thermal comfort and the heat stress indices. Industrial Health, v. 44, n. 3, p. 388–398, 2006.
STOET, G. PsyToolkit - A software package for programming psychological experiments using Linux. Behavior Research Methods, v. 42, n. 4, p. 1096-1104, nov. 2010. DOI: https://doi.org/10.3758/BRM.42.4.1096
STOET, G. PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments. Teaching of Psychology, v. 44, n. 1, p. 24-31, nov. 2016. DOI: https://doi.org/10.1177/0098628316677643
CRONBACH, L. J.; SHAVELSON, R. J. My Current Thoughts on Coefficient Alpha and Successor Procedures. Educational and Psychological Measurement, v. 64, p. 391 – 418, jun. 2004. DOI: https://doi.org/10.1177/0013164404266386
KIM, H.Y. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restor Dent Endod. V. 38, n. 1, p5 52-54, fev. 2013. DOI: https://doi.org/10.5395/rde.2013.38.1.52
Glen, S. F Table. StatisticsHowTo.com: Elementary Statistics for the rest of us! 2022. Disponível em: https://www.statisticshowto.com/tables/f-table/. Acesso em 25 maio 2022.
FIELD, A. Discovering statistics using IBM SPSS statistics. 5. ed. Londres: Sage. 2018.
SOUZA, A. Estatística Psicobio I 2022 #15 - Análise de Variância (ANOVA) parte II - Posthocs e Effect Sizes. Cientística & Podcast Naruhodo. 2022. Disponível em: < https://www.youtube.com/watch?v=IDV0nLweRIA&list=PLZjaOxYREintQo6U6Mr6PKQ5dIWfEP3n7&index=15 >. Acesso em: 20 maio 2022.
LENHARD, W.; LENHARD, A. Computation of effect sizes. Psychometrica. 2016. Disponível em: https://www.psychometrica.de/effect_size.html. Acesso em: 20 maio 2022. DOI: 10.13140/RG.2.2.17823.92329