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深入探究色彩空间

Delving Deeper Into Color Space.

作者信息

Jraissati Yasmina, Douven Igor

机构信息

Department of Philosophy, American University Beirut, Lebanon.

SND/CNRS/Sorbonne University, Paris, France.

出版信息

Iperception. 2018 Aug 23;9(4):2041669518792062. doi: 10.1177/2041669518792062. eCollection 2018 Jul-Aug.

Abstract

So far, color-naming studies have relied on a rather limited set of color stimuli. Most importantly, stimuli have been largely limited to highly saturated colors. Because of this, little is known about how people categorize less saturated colors and, more generally, about the structure of color categories as they extend across all dimensions of color space. This article presents the results from a large Internet-based color-naming study that involved color stimuli ranging across all available chroma levels in Munsell space. These results help answer such questions as how English speakers name a more complex color set, whether English speakers use so-called basic color terms (BCTs) more frequently for more saturated colors, how they use non-BCTs in comparison with BCTs, whether non-BCTs are highly consensual in less saturated parts of the solid, how deep inside color space basic color categories extend, or how they behave on the chroma dimension.

摘要

到目前为止,颜色命名研究一直依赖于相当有限的一组颜色刺激。最重要的是,刺激在很大程度上局限于高饱和度颜色。因此,对于人们如何对低饱和度颜色进行分类,以及更一般地说,对于颜色类别在整个颜色空间维度上的结构,我们知之甚少。本文展示了一项基于互联网的大型颜色命名研究的结果,该研究涉及孟塞尔空间中所有可用色度水平的颜色刺激。这些结果有助于回答诸如说英语的人如何命名更复杂的颜色集、说英语的人是否更频繁地使用所谓的基本颜色术语(BCTs)来表示饱和度更高的颜色、他们与BCTs相比如何使用非BCTs、非BCTs在立体模型饱和度较低的部分是否具有高度一致性、基本颜色类别在颜色空间中延伸到多深,或者它们在色度维度上的表现如何等问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc9/6109856/be54f9d56c33/10.1177_2041669518792062-fig1.jpg

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