Big data technology to analyze the application value of color healing in visual communication design

产品(数学) 计算机科学 集合(抽象数据类型) 视觉传达 感觉 聚类分析 价值(数学) 心理学 人机交互 多媒体 人工智能 社会心理学 数学 机器学习 几何学 程序设计语言
作者
Huan Tian
出处
期刊:Applied mathematics and nonlinear sciences [De Gruyter]
卷期号:9 (1)
标识
DOI:10.2478/amns-2024-2357
摘要

Abstract Color is a powerful tool for communication across language and cultural boundaries. Through understanding color emotion and color psychology, designers can establish a deeper emotional connection with the audience and achieve more effective visual communication. The purpose of this paper is to introduce healing colors and their specific applications in visual communication design. In order to explore the specific application value of color healing in visual communication design, this paper mines product color information extracts colors and screen clusters according to the K-Means clustering method, and finally constructs product color data sets. Mining consumer emotional information, combined with the product color data set, calculates the consumer emotional weight and the sense of product safety experience through experimental technical means so as to judge the application value of healing color. According to the final results of the calculation of consumer safety experience, orange (0.6084) and green (0.5718) have higher weights, which also lead to higher product sales. This shows that healing colors affect consumers’ psychological and physiological feelings while also influencing product sales.

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