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All issues Volume 362 (2022) E3S Web Conf., 362 (2022) 08003 References
Open Access
Issue
E3S Web Conf.
Volume 362, 2022
BuildSim Nordic 2022
Article Number 08003
Number of page(s) 8
Section Daylight Components
DOI https://doi.org/10.1051/e3sconf/202236208003
Published online 01 December 2022
  1. N. Tuaycharoen and P. R. Tregenza, “View and discomfort glare from windows,” Light. Res. Technol., vol. 39, no. 2, pp. 185–200, 2007. [Google Scholar]
  2. S.M. Khanie, “Gaze-driven approach for estimating luminance values in the field of view for discomfort glare assessments,” in Cie 2015, 2016. [Google Scholar]
  3. G. Chinazzo, L. Pastore, J. Wienold, and M. Andersen, “A field study investigation on the influence of light level on subjective thermal perception in different seasons,” Wind. Conf. Rethink. Comf., no. April, 2018. [Google Scholar]
  4. Danish Standards Association, “DS/EN 17037 Dagslys i bygninger [Daylight in buildings],” Danske Stand., pp. 1–57, 2018. [Google Scholar]
  5. Boligog Planstyrelsen, “Bygningsreglementet: Lys og udsyn (§ 377 - § 384),” 2018. [Google Scholar]
  6. J. Mardaljevic, “Aperture-Based Daylight Modelling: Introducing the 'View Lumen,'” Proc. Build. Simul. 2019 16th Conf. IBPSA, vol. 16, pp. 1129–1136, 2020. [Google Scholar]
  7. W. H. Ko, M. G. Kent, S. Schiavon, B. Levitt, and G. Betti, “A Window View Quality Assessment Framework,” LEUKOS - J. Illum. Eng. Soc. North Am., vol. 18, no. 3, pp. 268–293, 2022. [Google Scholar]
  8. H. I. Hellinga, “Daylight and view: the influence of windows on the visual quality of indoor spaces,” TU Delft, Delft University of Technology, 2013. [Google Scholar]
  9. H. Hellinga and T. Hordijk, “The D&V analysis method: A method for the analysis of daylight access and view quality,” Build. Environ., vol. 79, pp. 101–114, Sep. 2014. [CrossRef] [Google Scholar]
  10. A. Oliva, M. L. Mack, M. Shrestha, and A. Peeper, “Identifying the perceptual dimensions of visual complexity of scenes,” Proc. 26th Annu. Meet. Cogn. Sci. Soc., pp. 1041–1046, 2004. [Google Scholar]
  11. V. Zaikina and B. S. Matusiak, “Verification of the Accuracy of the Luminance-Based Metrics of Contour, Shape, and Detail Distinctness of 3D Object in Simulated Daylit Scene by Numerical Comparison with Photographed HDR Images,” LEUKOS - J. Illum. Eng. Soc. North Am., vol. 13, no. 3, pp. 177–188, 2017. [Google Scholar]
  12. G. S. Rubin, “Visual Acuity and Contrast Sensitivity,” Retin. Fifth Ed., vol. 1, pp. 300–306, Jan. 2013. [Google Scholar]
  13. G. Simone, M. Pedersen, and J. Y. Hardeberg, “Measuring perceptual contrast in digital images,” J. Vis. Commun. Image Represent., vol. 23, no. 3, pp. 491–506, 2012. [Google Scholar]
  14. M. Pavel, G. Sperling, T. Riedl, and A. Vanderbeek, “Limits of visual communication: the effect of signal-to-noise ratio on the intelligibility of American Sign Language,” J. Opt. Soc. Am. A, vol. 4, no. 12, p. 2355, 1987. [Google Scholar]
  15. A. Rizzi, G. Simone, and R. Cordone, “A modified algorithm for perceived contrast measure in digital images,” Soc. Imaging Sci. Technol. - 4th Eur. Conf. Colour Graph. Imaging, Vis. 10th Int. Symp. Multispectral Colour Sci. CGIV 2008/MCS’08, no. January 2008, pp. 249–252, 2008. [Google Scholar]
  16. S. Rockcastle, M. L. Amundadottir, and M. Andersen, “Contrast measures for predicting perceptual effects of daylight in architectural renderings,” Light. Res. Technol., vol. 49, no. 7, pp. 882–903, 2017. [Google Scholar]
  17. I. Konstantzos, Y. C. Chan, J. C. Seibold, A. Tzempelikos, R. W. Proctor, and J. B. Protzman, “View clarity index: A new metric to evaluate clarity of view through window shades,” Build. Environ., vol. 90, pp. 206–214, 2015. [CrossRef] [Google Scholar]
  18. O. Signe Ebsen and O. Jens Christian, “Characterisation of View-Out towards an index for appropriate selection of solar-control systems,” Technical University of Denamark. [Google Scholar]
  19. H. Olsen, “Guide til gode spørgeskemaer,” 2006. [Google Scholar]
  20. “Netigate feedback platform.” [Online]. Available: https://www.netigate.net/. [Accessed: 08-Jul-2022]. [Google Scholar]
  21. “Lameloversigt WINGS-lameller til Blendex solskaerme,” 2011. [Google Scholar]
  22. J. Wienold and J. Christoffersen, “Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras,” Energy Build., vol. 38, no. 7, pp. 743–757, 2006. [CrossRef] [Google Scholar]
  23. “R: The R Project for Statistical Computing.” [Online]. Available: https://www.r-project.org/. [Google Scholar]
  24. D. Bates, M. Mächler, B. M. Bolker, and S. C. Walker, “Fitting Linear Mixed-Effects Models Using lme4,” J. Stat. Softw., vol. 67, no. 1, pp. 1–48, Oct. 2015. [Google Scholar]

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