An algorithm for generating color scales for both categorical and ordinal coding

An algorithm for generating color scales for both categorical and ordinal coding
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一种为分类编码和序数编码生成色阶的算法

DOI:
10.1002/col.20559
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发表时间:
2010
影响因子:
1.4
通讯作者:
R. Ratwani
R. Ratwani
中科院分区:
工程技术4区
文献类型:
--
作者:
Leonard A. Breslow;J. Gregory Trafton;J. McCurry;R. Ratwani

文献摘要

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先前的研究表明,多色调尺度非常适合编码分类特征,亮度尺度非常适合编码序数量。我们介绍了一种算法,Motley,产生不同的色调和亮度的色标,旨在有效的分类和有序编码,使用户能够有效和准确地确定绝对和相对数量。该算法首先确定尺度颜色的亮度,以最大化感知的亮度差异,并建立亮度排序,为每个尺度位置生成单独的搜索空间。然后通过启发式搜索来选择色调,以最大化尺度的可分辨性。它产生的尺度是有序的亮度,但无序的色调,因此比典型的多色调亮度尺度更可辨。在对人类受试者的实验评估中,Motley的尺度使相对量的准确判断成为可能,其响应时间上级无序的多色调尺度,与有序的亮度尺度相当,并且使绝对量的判断的准确性和速度上级亮度尺度,与多色调尺度相当。出版2009威利期刊公司,Col Res Appl,2010.
Previous research has shown multihue scales to be well-suited to code categorical features and shown lightness scales to be well-suited to code ordinal quantities. We introduce an algorithm, Motley, that produces color scales varying in both hue and lightness, intended to be effective for both categorical and ordinal coding, allowing users to determine both absolute and relative quantities efficiently and accurately. The algorithm first determines the lightnesses of scale colors to maximize perceived lightness differences and establish the lightness ordering, generating separate search spaces for each scale position. It then selects hues by heuristic search to maximize the discriminability of the scale. It produces scales that are ordered with respect to lightness but unordered with respect to hue and thus more discriminable than typical multihue lightness scales. In an experimental evaluation on human subjects, Motley's scales enabled accurate judgments of relative quantity, with response times superior to unordered multihue scales and comparable to ordered lightness scales, and enabled accuracy and speed of judgments of absolute quantity superior to lightness scales and comparable to multihue scales. Published 2009 Wiley Periodicals, Inc., Col Res Appl, 2010.