Tag Archives: machine learning

Color Cycle Survey Update

Since my last update on the Color Cycle Survey, there have been no drastic changes, but responses have continued to trickle in. There are now ~13.7k total responses, with ~6k responses each for the six color and eight color components. … Continue reading

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Preliminary Color Cycle Order Ranking Results

Last month, I presented a preliminary analysis of ranking color sets using responses collected in the Color Cycle Survey. Now, I extend this analysis to look at color ordering within a given color set. For this analysis, the same artificial … Continue reading

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Preliminary Color Cycle Set Ranking Results

Since I launched my color cycle survey in December, it has collected ~9.7k responses across ~800 user sessions. Although the responses are not as numerous as I’d like, there’s currently enough data for preliminary analysis. The data are split between … Continue reading

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