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Effective Use of Color IS 485, Professor Matt Thatcher
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2 Agenda l Administrivia l Use of color in design l Other human abilities
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3 Color as a Design Element l We wish to seek means through which the careful use of color can enhance human performance when dealing with computer displays l The meaningless introduction of color to an interface can reduce user performance to 1/3 of what it was without color
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4 Physiology of the Eye l Physical structure of the eye l Limits of perception l Guidelines for use of color
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5 Physiology of the Eye l Lens is not color corrected chromostereopsis, produces 3D effect White Light Lens Retina (separated wavelengths)
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6 Focus on Blue Light Lens Retina Focus on Red Light Lens Retina
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7 Implication of Chromostereopsis l Spectrally extreme colors produce eye strain (refocusing)
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8 Visible Spectrum
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9 Physiology of the Eye l Composition of the eye (retina), wavelength sensitivity 65% 2% 33% Rods B&W Cones color
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10 Physiology of the Eye l Lens is not color corrected, Murch, 1984 l Adjacent, opposite colors produce eye strain, Schneiderman, 1992 l Cone composition of the eye, Murch, 1984 Composition of the Eye 65% 2% 33%
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11 The Aging Process l Lens tends to yellow and absorbs shorter wavelengths –causing increased insensitivity to blue l Fluids in the eye suffer from reduced transparency –Perceive a lower level of brightness l Implications –don’t rely on blue for text or small objects –older users need brighter colors
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12 Color Deficiency (or Color Blindness) l Trouble discriminating colors l Percentage of population affected –men: 8 - 10% –women: 0.5 - 1.5 % l Shape and contours defined by color alone can appear invisible l Most common color deficiency –R&G!
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13 Problem for Color Deficient Users
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14 Color Wheel
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15 Effective Color Combinations l Opponent colors go well together –complementary colors (R&G or B&Y) l Pick non-adjacent colors
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16 Poor Color Contrast
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17 Color Illusions l Color adaptation –colors appear less saturated after prolonged exposure l McCullough effect –shifts in color perception toward complementary colors
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19 Simultaneous Contrast
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20 Commonality/Difference of Color by Profession l Machine industry: white = hot l Chemical engineer: red=hot, blue=cold l Medical: green, purple = tumor l red, yellow = normal l Control engineers: green = safe l Financial: red=loss, black=gain, green = profitable l Health care: green = infected l Map makers: blue=water, green=forests, yellow=deserts l Automobile industry: green=go, yellow=caution, red=stop
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21 Difference of Color by Culture CultureRedYellowGreenBlue European danger caution,coward safe,sour masculine Japanese anger, danger grace,nobility youth villany Chinese joy,festive honor,royalty Arabic happiness, prosperity strength virtue,faith
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22 Poor Color Coding
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23 Experimental Results
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24 Difference in Color l Source of colors l Texture or finish of surface l Ambient light sources l Size, orientation of surface l Other colors in field of vision l Distance from object
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25 Color and Commercialism l Software now evaluated based on its interface l Competition and focus may not be functionality, but usability
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26 Review of Color Guidelines l Avoid the simultaneous display of spectrally extreme colors l Avoid red and green in the periphery of a large-scale display –lack of RG cones there -- yellows & blues work in periphery l Avoid pure blue for text, thin lines, and small shapes l Opponent (or complementary) colors on the color wheel go well together l Older operators need higher brightness levels to perceive and distinguish colors l Ensure that color coding supports the user and the task l Use color as a “redundant” clue
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27 The Best Advice l Color can be very helpful, but l Pay attention to –how colors combine –human perception –people with color deficiency –established color coding l Best advice –perform user, task, environment analysis –conduct user tests –use color sparingly
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28 compared to Use Color Sparingly
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29 Human Abilities (Some More Interesting Stuff) l Fitts’ Law –moving hand is a series of microcorrections »correction takes T perception + T cognition + T motor = 240 msec –time Tpos to move the hand (or mouse) to target size S which is distance D away is given by: »Tpos = a + b log2 (D/S + 1) –summary »time to move the hand depends only on the relative precision required
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30 Fitts’ Law Example l Which will be faster on average? –pie menu (bigger targets & less distance) Today Sunday Monday Tuesday Wednesday Thursday Friday Saturday Pop-up Linear Menu Pop-up Pie Menu
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31 Simple Experiment l Volunteer l Start saying colors you see in list of words –when slide comes up –as fast as you can l Say “done” when finished l Everyone else time it…
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32 ZYP QLEKF SUWRG XCIDB WOPR ZYP QLEKF XCIDB SUWRG WOPR SUWRG ZYP XCIDB QLEKF WOPR QLEKF WOPR ZYP XCIDB SUWRG
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33 Simple Experiment l Do it again l Say “done” when finished
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34 RED BLACK YELLOW BLUE RED GREEN YELLOW BLACK BLUE BLACK RED YELLOW GREEN BLUE GREEN BLUE RED YELLOW BLACK GREEN
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35 Memory l Interference –two strong cues in working memory –link to different chunks in long term memory l Why learn about memory? –know what’s behind many HCI techniques –helps you understand what users will “get” –aging population of users
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36 Next Class l Web Design Patterns (Homepage)
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