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XKCD in LUV and relationships: semantic proximity of similar colors

Posted 12 years ago
POSTED BY: Vitaliy Kaurov
5 Replies

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POSTED BY: EDITORIAL BOARD

As a newcomer to Wolfram-Community and as a nonscientist I'm overwhelmed by what is possible in Mathematica. And, Vitaliy, what a creative train of thought to combine social data on colors with color theory and percolation theory! What I missed in the xkcd poll were more shades of grey and dark hues. Incidently, In January I finished a new painting "In CIELab color space", which provides more colors to be named

Tryptichon

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Poll data is probably a new thing, but maybe more appropriate would be the type of experiments done in psychology

Or already an old technology is eye tracking. Has anyone tracked the eyes as they see this color representation?

Back in 2004 Anirudh Tiwathia did an eye tracking experiment with cellular automata at the summer school which was later published in Complex Systems The experienced researchers would start at the bottom, but those unfamiliar always started at the top. In the case of Vitaliy's color visualizations I find myself looking through them in a definite movement, although I can't recall exactly what. From some perspective the eye movement is a more basic measure of semantic pathways than a poll, which is something that has to go through many layers and is more difficult to interpret.

POSTED BY: Todd Rowland

What a colorful Community post! :-)

Vitaliy, another way to have text in contrast is to use your trick posted in Stackexchange

text = First[First[ImportString[ExportString[Style["gray", Italic, FontSize -> 24, 
FontFamily -> "Times"], "PDF"], "PDF", "TextMode" -> "Outlines"]]];

and setting the fonts to be always black with white borders:

Graphics[{EdgeForm[Directive[White, Thick]], Black, text},
Background -> Gray, PlotRange -> {{-5, 25}, {-0, 20}}]

gray white borders black font

Btw, your awesome function to find color relationships can be used as a "Color Blind Assistant". Here is the modified function that does this given a color:

cassist[c_] := Part[Nearest[data, {c, ""}, DistanceFunction -> neco],1,-1]

for example:

cassist[Darker@Red]

"darkish red"

Which it really tells how that particular color looks like.

POSTED BY: Bernat Espigulé
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