Color2Vec: Web-Based Modeling of Word-Color Association with Sociocultural Contexts

IF 4.8 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

ACM Transactions on Computer-Human Interaction Pub Date : 2022-11-21 DOI:10.1145/3571816

Long Xu, S. Park, Sangwon Lee

引用次数: 0

Abstract

Color design has long benefited from the statistical analysis of public taste and, more recently, from crowdsourcing to discover fresh and popular ideas. However, the current color dictionary is considerably restricted in terms of the scope of expressible design concepts and the control of target demographics. We propose a search-engine-based color palette generator inspired by Natural Language Processing algorithms that filter and cluster semantically related words. The post-evaluation reveals that our results not only faithfully realize the given keywords but are notable indicators of inter-group dynamics; the differential recognition of the other group's identity colors reflects the direction of historic, geographic, or cultural influence.

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Color2Vec:基于网络的社会文化语境下的词-颜色关联模型

色彩设计长期以来一直受益于对公众品味的统计分析，最近还受益于众包，以发现新鲜和流行的想法。然而，当前的颜色词典在可表达的设计概念的范围和目标人口统计的控制方面受到了相当大的限制。受自然语言处理算法的启发，我们提出了一种基于搜索引擎的调色板生成器，用于过滤和聚类语义相关的单词。后评价表明，我们的结果不仅忠实地实现了给定的关键词，而且是群体间动态的显著指标；对另一群体身份色彩的差异识别反映了历史、地理或文化影响的方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Computer-Human Interaction 工程技术-计算机：控制论

CiteScore

8.50

自引率

5.40%

发文量

审稿时长

>12 weeks

期刊介绍： This ACM Transaction seeks to be the premier archival journal in the multidisciplinary field of human-computer interaction. Since its first issue in March 1994, it has presented work of the highest scientific quality that contributes to the practice in the present and future. The primary emphasis is on results of broad application, but the journal considers original work focused on specific domains, on special requirements, on ethical issues -- the full range of design, development, and use of interactive systems.