Analyzing a decade of Colors of the Year
Analyzing a decade of Colors of the Year
复制标题
DOI：
10.1002/col.22566
复制
发表时间：
2020-08-28
影响因子：
1.4
通讯作者：
Koeckhoven, Pim
中科院分区：
文献类型：
--
作者：
Gijsenij, Arjan;Vazirian, Marjan;Koeckhoven, Pim
年度色彩最早由潘通于2000年推出，最近（过去十年），我们看到越来越多的公司开始推出年度色彩。油漆和涂料公司通常通过设计师和趋势专家的广泛研究来选择他们的年度颜色，从而每年都会推出多种颜色作为年度颜色。在这篇文章中，我们整理了过去十年中出版的15家不同油漆和涂料公司的年度颜色，我们表明，尽管偶尔年度颜色具有高NCS色度，但大多数年度颜色可以被描述为中性或灰白色（即NCS色度的中值较低，20%）。我们证明了一年中颜色的分布每年都遵循一定的叙述：平均亮度和色度（每年所有公司的平均值）似乎遵循波浪状模式，平均亮度似乎每8年重复一次，平均色度大约每4.5年重复一次。同样，我们可以看到色调的循环模式：从2015年的黄红色或绿蓝色为主，到2017年的蓝色为主，再到2020年的色调变化很大，这表明今年的颜色偏好出现了碎片化。此外，我们证明了今年的颜色显着不同，可以预期，如果颜色是随机选择的。这可能反映了涂料公司使用类似的原始数据来确定其颜色趋势的事实。
The Color of the Year was first introduced by Pantone in 2000, and recently (the last decade) we saw the trend of introducing a Color of the Year being picked up by more and more companies. Paints and coatings companies typically select their colors of the year by extensive research by designers and trend experts, resulting in a plurality of colors being introduced as Color of the Year, every year. In this article, we collated colors of the year of 15 different paints and coatings companies published in the past decade and we show that most colors of the year can be described as neutral or off-white color (ie, the median value for NCS Chromaticness is low, 20%) although occasionally colors of the year have high NCS Chromaticness. We demonstrate that the distribution of colors of the year follow a certain narrative from year to year: The average Lightness and Chroma (averaged over all companies, per year) appear to follow a wavelike pattern, where the average Lightness appears to repeat itself every similar to 8 years and the average Chroma approximately every 4.5 years. Similarly, we can see a cyclic pattern in the hue: From mostly yellowish red or greenish blue in 2015, towards predominantly blue in 2017, to a wide variation in hues in 2020 suggesting a fragmentation in colors of the year preferences. In addition, we demonstrate that the colors of the year differ significantly from what can be expected if the colors would have been selected randomly. This could reflect the fact that paint companies use similar raw data to identify their color trends.