Cognitively Congruent Color Palettes for Mapping Spatial Emotional Data. Matching Colors to Emotions.

Q3 Earth and Planetary Sciences
Andrei Kushkin, Alberto Giordano, Amy Griffin, Alexander Savelyev
{"title":"Cognitively Congruent Color Palettes for Mapping Spatial Emotional Data. Matching Colors to Emotions.","authors":"Andrei Kushkin, Alberto Giordano, Amy Griffin, Alexander Savelyev","doi":"10.14714/cp102.1821","DOIUrl":null,"url":null,"abstract":"Emotions are touchstones of humans’ everyday life experiences. Maps of emotions inform a variety of research from urban planning and disaster response to marketing studies. Emotions are most often shown on maps with colors. Previous research suggests that humans have subjective associations between colors and emotions that impact objective task performance. Thus, a mismatch between the emotion associated with a color and the emotion it represents may bias the viewer’s attention, perception, and understanding of the map. There are no guidelines that can help cartographers and designers choose matching colors to display spatial emotional data. This study aimed to address this gap by suggesting cognitively congruent color palettes—color sets matched to emotions in a way that is aligned with color-emotion associations.\nTo obtain the set of candidate congruent colors and identify appropriate color-to-emotion assignments, two user experiments were conducted with participants in the United States. In the first, participants picked a representative color for 23 discrete emotions. In the second experiment, for each candidate color from a set derived from the results of the first experiment, participants selected the best-matching emotions. The probability of the emotion being selected served as a measure of how representative the color is of that emotion. Due to the many-to-many nature of associations between colors and emotions, suitable color choices were incorporated into a dynamic palette generation tool. This tool solves the color assignment problem and produces a suitable color palette depending on the combination of selected emotions.","PeriodicalId":35716,"journal":{"name":"Cartographic Perspectives","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cartographic Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14714/cp102.1821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

Emotions are touchstones of humans’ everyday life experiences. Maps of emotions inform a variety of research from urban planning and disaster response to marketing studies. Emotions are most often shown on maps with colors. Previous research suggests that humans have subjective associations between colors and emotions that impact objective task performance. Thus, a mismatch between the emotion associated with a color and the emotion it represents may bias the viewer’s attention, perception, and understanding of the map. There are no guidelines that can help cartographers and designers choose matching colors to display spatial emotional data. This study aimed to address this gap by suggesting cognitively congruent color palettes—color sets matched to emotions in a way that is aligned with color-emotion associations. To obtain the set of candidate congruent colors and identify appropriate color-to-emotion assignments, two user experiments were conducted with participants in the United States. In the first, participants picked a representative color for 23 discrete emotions. In the second experiment, for each candidate color from a set derived from the results of the first experiment, participants selected the best-matching emotions. The probability of the emotion being selected served as a measure of how representative the color is of that emotion. Due to the many-to-many nature of associations between colors and emotions, suitable color choices were incorporated into a dynamic palette generation tool. This tool solves the color assignment problem and produces a suitable color palette depending on the combination of selected emotions.
用于绘制空间情感数据的认知一致调色板。将颜色与情绪相匹配。
情感是人类日常生活体验的试金石。从城市规划、灾难应对到营销研究,情感地图为各种研究提供了信息。在地图上,情绪通常用颜色来表示。以往的研究表明,人类对颜色和情绪之间存在主观联想,这种联想会影响客观任务的完成。因此,与颜色相关的情感和它所代表的情感之间的不匹配可能会影响查看者对地图的关注、感知和理解。目前还没有指南可以帮助制图师和设计师选择匹配的颜色来显示空间情感数据。为了获得一组候选的一致颜色并确定适当的颜色-情感分配,我们在美国对参与者进行了两次用户实验。在第一项实验中,参与者为 23 种离散情绪挑选了一种具有代表性的颜色。在第二个实验中,对于从第一个实验结果中得出的一组候选颜色中的每一种候选颜色,参与者都选择了最匹配的情感。情绪被选中的概率可以用来衡量颜色对该情绪的代表性。由于颜色和情绪之间的关联具有多对多的性质,因此合适的颜色选择被纳入了动态调色板生成工具。该工具可解决颜色分配问题,并根据所选情绪的组合生成合适的调色板。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cartographic Perspectives
Cartographic Perspectives Environmental Science-Environmental Science (all)
CiteScore
1.00
自引率
0.00%
发文量
11
期刊介绍: Cartographic Perspectives is an international journal devoted to the study and practice of cartography in all its diversity. - Creative and innovative work encouraged - Full-text index available via EBSCO Academic Search Complete - Color figures at no cost to author - Indexed by Elsevier - Manuscript reviews to Authors in 6 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信