Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

September 3, 2024


Pages


DOI

Article

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


Authors

Huan Tian Affiliation:
Zhuhai College of Science and Technology, Zhuhai, Guangdong, 519000, China.


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.


Keywords

Big data technology, K-Means clustering, Consumer emotional weight, Color healing, 97M50


Citation

Tian, H. (2024). Big data technology to analyze the application value of color healing in visual communication design. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2357

Published by: Engineering Journals

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