The Effect of Control Resolution on the Usability of Color-Tunable Lighting Systems

References

• Al-Rasheed AS. 2015. An experimental study of gender and cultural differences in hue preference. Front Psychol. 6:30.
   PubMed Web of Science ®Google Scholar
• Box GE, Hunter JS, Hunter WG. 2005. Statistics for experimenters: design, innovation, and discovery. New York (NY): Wiley-Interscience. 1–5.
   Google Scholar
• Chien S, Mahdavi A. 2008. Evaluating interface designs for user–system interaction media in buildings. Adv Eng Inform. 22(4):484–492.
   Web of Science ®Google Scholar
• [CIE] Commission International de l’Éclairage. 2004. Colorimetry. 3rd ed. CIE 15 Technical Report. pp. 72. Vienna (Austria): Commission Internationale de l’Eclairage (CIE),
   Google Scholar
• Coghlan A. 2007. It’s lights out for household classic. New Sci. 193(2597):26–27.
   Web of Science ®Google Scholar
• Department of Energy. n.d. Understanding LED color-tunable products. Office of Energy Efficiency & Renewable Energy. Available from: https://energy.gov/eere/ssl/understanding-led-color-tunable-products. Accessed 2017 Sep 20.
   Google Scholar
• Dugar AM, Donn MR. 2011. Tangible intervention—improving the effectiveness of lighting control systems. Lighting Res Technol. 2011(43):381–393.
   Google Scholar
• Dugar AM, Donn MR, Osterhaus W. 2011. Tangible lighting controls—reporting end-users’ interactions with lighting control interfaces. LEUKOS. 8:123–136.
   Web of Science ®Google Scholar
• Fairchild MD. 2013. Color appearance models. Chichester (UK):John Wiley & Sons.
   Google Scholar
• Halper M. 2017. Philips turns modern Hanoi bridge into a colorful light display. LEDs Magazine. September. Available from: http://www.ledsmagazine.com/articles/2017/07/philips-turns-modern-hanoi-bridge-into-a-colorful-light-display.html. Accessed 2017 Sep 18.
   Google Scholar
• Hu W, Davis W. 2016a. Dimming curve based on the detectability and acceptability of illuminance differences. Opt Express. 24(10):A885–A897.
   PubMed Web of Science ®Google Scholar
• Hu W, Davis W. 2016b. Luminance resolution of lighting control systems: usability and energy conservation. Melbourne (Australia): CIE. pp. 753.
   Google Scholar
• Hu W, Davis W. 2017. Development and evaluation of colour control interfaces for LED lighting. Opt Express. 25(8):A346–A360.
   PubMed Web of Science ®Google Scholar
• Hunt RWG, Pointer MR. 2011. Measuring colour. Chichester (UK): John Wiley & Sons.
   Google Scholar
• Hurlbert AC, Ling Y. 2007. Biological components of sex differences in color preference. Curr Biol. 17(16):R623–R625.
   PubMed Web of Science ®Google Scholar
• International Organization for Standardization. 1998. Ergonomic requirements for office work with visual display terminals (VDTs): part 11: guidance on usability. ISO 9241-11:1998. Geneva (Switzerland): ISO.
   Google Scholar
• Julian W, Lumascape. 2016. The Sydney Opera House concert hall celebrates two years of LEDs. Lighting. 36(4):26–27.
   Google Scholar
• Lewis JR. 1991. Psychometric evaluation of an after-scenario questionnaire for computer usability studies—the ASQ. SIGCHI Bulletin. 23(1):78–81.
   Google Scholar
• Major M. 2009. Architectural light and colour as a source of inspiration: an approach to the use of colour. In: Mikellides TPB, editor. Colour for architecture today. New York (NY): Taylor & Francis; p. 151–158.
   Google Scholar
• McManus I, Jones AL, Cottrell J. 1981. The aesthetics of colour. Perception. 10(6):651–666.
   Google Scholar
• Melgosa M. 2006. Improvement of cmc upon CIEDE2000 for a new experimental dataset. Color Res Appl. 31(3):239–241.
   Web of Science ®Google Scholar
• Melgosa M, Gómez-Robledo L, García P, Morillas S, Fernández-Maloigne C, Richard N, Huang M, Li C, Cui G 2017. Color-quality control using color-difference formulas: progress and problems. In: Third International Conference on Applications of Optics and Photonics. 22 August 2017, Faro, Portugal.
   Google Scholar
• Millward S. 2009. Color difference equations and their assessment. Test Target J. 9:19–26.
   Google Scholar
• Ohta N, Robertson A. 2006. Colorimetry: fundamentals and applications. Chichester (UK): John Wiley & Sons.
   Google Scholar
• Ou L-C, Luo MR, Woodcock A, Wright A. 2004a. A study of colour emotion and colour preference. Part I: colour emotions for single colours. Color Res Appl. 29(3):232–240.
   Web of Science ®Google Scholar
• Ou L-C, Luo MR, Woodcock A, Wright A. 2004b. A study of colour emotion and colour preference. Part II: colour emotions for two-colour combinations. Color Res Appl. 29(4):292–298.
   Web of Science ®Google Scholar
• Porter T, Mikellides B, Farrell T. 2009. Colour for architecture today. New York (NY): Taylor & Francis; 192 p.
   Google Scholar
• Schanda J, editor. 2007. Colorimetry: understanding the CIE system. Hoboken (NJ): John Wiley & Sons; 444 p.
   Google Scholar
• Sharma G, Wu W, Dalal EN. 2005. The CIEDE2000 color-difference formula: implementation notes, supplementary test data, and mathematical observations. Color Res Appl. 30(1):21–30.
   Web of Science ®Google Scholar
• Sharma G, Wu W, Dalal EN, Celik MU. 2004. Mathematical discontinuities in CIEDE2000 color difference computations. In: Color and Imaging Conference. 2006, Vancouver, Canada.
   Google Scholar
• Telelumen. 2018. Products. Available from: http://www.telelumen.com/products2.html. Accessed 2017 Jun 12.
   Google Scholar
• Turrell J. 2017. Architectural light. Available from: http://jamesturrell.com/work/type/architectural-light/. Accessed 2017 Sep 20.
   Google Scholar
• Warne RT. 2014. A Primer on multivariate analysis of variance (MANOVA) for behavioral scientists. PARE. 19(17):1–10.
   Google Scholar
• Yılmaz F, Ticleanu C, Howlett G, King S, Littlefair P. 2016. People-friendly lighting controls—user performance and feedback on different interfaces. Lighting Res Technol. 48(4):449–472.
   Web of Science ®Google Scholar