Abstract
Color pickers are widely used in all kinds of display applications. They vary greatly in their utility, depending on user expertise. We focus on nonprofessional, occasional users. Such users may spend from a few seconds up to a few minutes to select a color. Yet, typically they reach final accuracy within the initial 20s. Additional effort leads to random walks in the neighborhood of the target. We explore the efficaciousness of five generic color pickers, analyzing the results in terms of generic user interface properties. There is a major dichotomy between three-slider interfaces, and those that offer some form of 2D selectivity. The accuracy in rgb coordinates is about one-tenth to one-twentieth of the full scale (often 0--255 in r, g, and b), whereas a little over 100 hues are resolved. The most efficient color picker, which is presently rarely used in popular applications, is much more efficient than the worst one. We speculate that this derives from a closer match to the user’s internal representation of color space. The study results in explicit recommendations for the implementation of user-friendly and efficient color tools.
- Max K. Agoston. 2005. Computer Graphics and Geometric Modeling: Implementation and Algorithms. Springer, London. Google ScholarDigital Library
- Margarita Bratkova, Solomon Boulos, and Peter Shirley. 2009. oRGB: A practical opponent color space for computer graphics. IEEE Computer Graphics and Applications 29, 1 (2009), 42--55. Special issue title on generating 3D building models a VR playground for teaching math archive.Google ScholarDigital Library
- Barbara Brundage. 2012. Photoshop Elements 11: The Missing Manual. O’Reilly Media, Inc., Sebastopol, CA. Google ScholarDigital Library
- Brad Cox. 1983. The object oriented pre-compiler: Programming smalltalk 80 methods in C language. ACM SIGPLAN Notices 18, 1 (1983). Google ScholarDigital Library
- Sarah A. Douglas and Arthur E. Kirkpatrick. 1999. Model and representation: The effect of visual feedback on human performance in a color picker interface. ACM Transactions on Graphics 18, 2 (1999), 196--127. Google ScholarDigital Library
- James D. Foley, Andries van Dam, Steven K. Feiner, and John F. Hughes. 2005. Computer Graphics, Principles and Practice (2nd. ed.). Addison-Wesley Publishing Company, New York.Google Scholar
- Zong Woo Geem, Joong Hoon Kim, and G. V. Loganathan. 2001. A new heuristic optimization algorithm: Harmony search. Simulation 76, 2 (2001), 60--68.Google ScholarCross Ref
- Joseph Heller. 1961. Catch-22. Simon & Schuster.Google Scholar
- Ewald Hering. 1964. Outlines of a Theory of the Light Sense. Harvard University Press, Cambridge, MA.Google Scholar
- Aaron Hillegass. 2008. Cocoa Programming for Mac OS X (3rd ed.). Addison-Wesley, Cambridge, MA. Google ScholarDigital Library
- Leo M. Hurvich and Dorothea Jameson. 1957. An opponent-process theory of color vision. Psychological Review 64, 6 (1957), 384--404.Google ScholarCross Ref
- George H. Joblove and Donald Greenberg. 1978. Color spaces for computer graphics. Computer Graphics 12, 3 (1978), 20--25. Google ScholarDigital Library
- Kenneth L. Kelly and Deane B. Judd. 1976. Color. Universal Language and Dictionary of Names. Special Publication 440. National Bureau of Standards (U.S.), Washington.Google Scholar
- Jan J. Koenderink. 2010a. Color for the Sciences. MIT Press, Cambridge, MA. Google ScholarDigital Library
- Jan J. Koenderink. 2010b. The prior statistics of object color. Journal of the Optical Society of America A 27, 2 (2010), 206--217.Google ScholarCross Ref
- Haim Levkowitz and Gabor T. Herman. 1993. GLHS: A generalised lightness, hue and saturation color model. CVGIP: Graphical Models and Image Processing 55, 4 (1993), 271--285. Google ScholarDigital Library
- David L. MacAdam. 1943. Specification of small chromaticity differences. Journal of the Optical Society of America 33 (1943), 18--26.Google ScholarCross Ref
- Lindsay W. MacDonald and Anthony C. Loweki. 1997. Display Systems. John Wiley and Sons.Google Scholar
- Bruce MacEvoy. 2014. An Extensive Site about Color Science and Paint Mixing on the Web. Retrieved April 17, 2014 from ColorVision.handprint.com.Google Scholar
- James Clerk Maxwell. 1860. On the theory of compound colours, and the relations of the colours of the spectrum. Philosophical Transactions of the Royal Society of London 150 (1860), 57--84.Google ScholarCross Ref
- Alfred Ferdinand Möbius. 1827. Der Barycentrische Calcul. Johann Ambrosius Barth, Leipzig.Google Scholar
- Albert H. Munsell. 1905. A Color Notation. G. H. Ellis Co., Boston.Google Scholar
- Albert H. Munsell. 1912. A pigment color system and notation. Journal of Psychology 23, 2 (1912), 236--244.Google ScholarCross Ref
- Isaac Newton. 1998. Opticks or, a Treatise of the Reflexions, Refractions, Inflexions and Colours of Light: Also Two Treatises of the Species and Magnitude of Curvilinear Figures. Commentary by Nicholas Humez. Octavo, Palo Alto, CA. Opticks was originally published in 1704.Google Scholar
- Wilhelm Ostwald. 1917. Die Farbenfibel. Unesma, Leipzig.Google Scholar
- Wilhelm Ostwald. 1919. Der Farbkoerper und Seine Anwendung zur Herstellung Farbiger Harmonien. Unesma, Leipzig.Google Scholar
- Charles Poynton. 1997. Retrieved April 17, 2014 from FrequentlyAskedQuestionsAboutColor. A self-published Frequently Asked Questions page on the Internet. http://www.poynton.com/ColorFAQ.html.Google Scholar
- Charles Poynton. 1998. The rehabilitation of gamma. In Proceedings of SPIE (3299). SPIE, Washington, 232--249.Google Scholar
- Phillip O. Runge. 1810. Die Farben--Kugel, Oder Construction des Verhaeltnisses Aller Farben Zueinander. Perthes, Hamburg.Google Scholar
- Arthur Schopenhauer. 1994. On Vision and Colors. Berg, Providence.Google Scholar
- M. W. Schwarz, W. B. Cowan, and J. C. Beatty. 1987. An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models. ACM Transactions on Graphics 6, 2 (1987), 123--158. Google ScholarDigital Library
- Alvy Ray Smith. 1978. Color gamut transform pairs. Computer Graphics A 12, 3 (1978), 12--19. Google ScholarDigital Library
- Alvy Ray Smith and Eric Ray Lyons. 1996. HWBA more intuitive hue-based color model. Journal of Graphics, GPU, and Game Tools 1, 1 (1996), 3--17. Google ScholarDigital Library
- Johann W. von Goethe. 1982. Theory of Colours. MIT Press, Providence. Translation by Charles Lock Eastlake.Google Scholar
- Hermann von Helmholtz. 1867. Handbuch der Physiologischen Optik. Leopold Voss, Leipzig.Google Scholar
- Günther Wyszecki and Walter S. Stiles. 1928. Color Science (2nd ed.). John Wiley & Sons.Google Scholar
- John A. C. Yule and Gary G. Fields. 2001. Principles of Color Reproduction: Applied to Photomechanical Reproduction, Color Photography, and the Ink, Paper, and Other Related Industries. GATF Press.Google Scholar
- Mark Zimmer. 2012. Relativistic observer: Color. Retrieved April 23, 2014 from http://relativisticobserver.blogspot.nl/2012/03/color.html.Google Scholar
Index Terms
- Color Picking: The Initial 20s
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