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作为色调、明度和彩度函数的暖/冷判断

Warm/cool judgments as a function of hue, value, and chroma.

作者信息

Devinck Frédéric, Knoblauch Kenneth

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2025 May 1;42(5):B68-B75. doi: 10.1364/JOSAA.545368.

Abstract

Besides conventional perceptual attributes of hue, brightness, and saturation, colors are universally classified along a warm/cool dimension. Previous estimates of how warm/cool values are distributed across color space have relied on subjective ratings. Here we employed simple ordinal judgments between stimulus pairs using maximum likelihood conjoint measurement (MLCM) to assess the influence of Munsell hue, value, and chroma on warm/cool judgments. We also evaluated an identification task for single stimulus presentations. For the MLCM procedure, observers judged on each trial which of the two stimuli appeared warmer. For the identification task, observers classified individually presented color patches as cool or warm. The judgments were analyzed with probit regression to estimate the underlying perceptual scale values. The results confirm that the contributions of different dimensions to warm/cool variations in color space can be estimated using only ordinal judgments. While for most observers, warm/cool judgments depended on hue, there were individual variations in the extent to which value contributed to warm/cool, and little evidence for an effect of chroma.

摘要

除了色调、亮度和饱和度这些传统的感知属性外,颜色通常还会沿着暖/冷维度进行分类。以往关于暖/冷值在颜色空间中如何分布的估计依赖于主观评分。在这里,我们使用最大似然联合测量(MLCM)对刺激对进行简单的顺序判断,以评估孟塞尔色调、明度和彩度对暖/冷判断的影响。我们还评估了单个刺激呈现的识别任务。对于MLCM程序,观察者在每次试验中判断两个刺激中哪个看起来更暖。对于识别任务,观察者将单独呈现的颜色斑块分类为冷或暖。使用概率回归分析这些判断,以估计潜在的感知标度值。结果证实,仅使用顺序判断就可以估计不同维度对颜色空间中暖/冷变化的贡献。虽然对于大多数观察者来说,暖/冷判断取决于色调,但明度对暖/冷的贡献程度存在个体差异,而几乎没有证据表明彩度有影响。

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