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基于心理因素的绘画色彩视觉表现。

Visual performance of painting colors based on psychological factors.

作者信息

Yao Chenchen, Tian Tian, Gao Cai, Zhao Shuangping, Liu Qingyan

机构信息

Dongguk University, Art Academy, Seoul, South Korea.

College of Fine Arts, Shandong Normal University, Jinan, China.

出版信息

Front Psychol. 2022 Sep 29;13:966571. doi: 10.3389/fpsyg.2022.966571. eCollection 2022.

DOI:10.3389/fpsyg.2022.966571
PMID:36248445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9556761/
Abstract

Humans have been exploring colors since ancient times, but relatively complete color systems appeared one after another in the twentieth century. Even without language and other information exchanges, colors can still convey information and stimulate emotions. Therefore, color can have both physical and psychological effects on people. In this context, this paper studies the visual representation of painting colors based on psychological factors. The article studies the theory of personality traits and introduces the related content of visual psychology. To explore the relationship between each variable and color psychology and the visual representation of painting colors, a binary logistic regression analysis is performed. The colors in the post-impressionist paintings of Van Gogh and Gauguin is contrasted, and experiments on psychological factors and color research is conducted. The factors that affect the color tone of the picture and the influence of psychological factors on the judgment of color brightness are investigated. Finally, the correlation analysis of personality trait dimension and irrational behavior is carried out. The experimental results of the article show that after the analysis of variance, the significance levels of regression model 1 and model 2 both reach 0.000, and the adjusted R squares are 0.319 and 0.356, respectively. In this study, regression model 2 was selected as the final model. According to Model 2, the standardized regression coefficients of agreeableness and neuroticism are 0.438 and -0.251, respectively, and the significance of the regression coefficients are 0.000 and 0.021, respectively. The research on the visual performance of painting colors based on psychological factors has been well completed.

摘要

人类自古以来就在探索色彩,但相对完整的色彩体系在二十世纪相继出现。即使没有语言和其他信息交流,色彩仍然可以传达信息并激发情感。因此,色彩会对人产生生理和心理影响。在此背景下,本文基于心理因素研究绘画色彩的视觉表现。文章研究了人格特质理论,并介绍了视觉心理学的相关内容。为了探究各变量与色彩心理学以及绘画色彩视觉表现之间的关系,进行了二元逻辑回归分析。对比了梵高和高更后印象派绘画中的色彩,并开展了心理因素与色彩研究的实验。研究了影响画面色调的因素以及心理因素对色彩明度判断的影响。最后,进行了人格特质维度与非理性行为的相关分析。文章的实验结果表明,经过方差分析,回归模型1和模型2的显著性水平均达到0.000,调整后的R平方分别为0.319和0.356。本研究选择回归模型2作为最终模型。根据模型2,宜人性和神经质的标准化回归系数分别为0.438和-0.251,回归系数的显著性分别为0.000和0.021。基于心理因素对绘画色彩视觉表现的研究已圆满完成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/24875891a38a/fpsyg-13-966571-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/77bf64172714/fpsyg-13-966571-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/6ed3b8d48071/fpsyg-13-966571-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/14f38bc6ff05/fpsyg-13-966571-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/f69dcae86dab/fpsyg-13-966571-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/c747043190e8/fpsyg-13-966571-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/3cd4e03ae7db/fpsyg-13-966571-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/87ad3a9f3211/fpsyg-13-966571-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/e9b553f41049/fpsyg-13-966571-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/24875891a38a/fpsyg-13-966571-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/77bf64172714/fpsyg-13-966571-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/6ed3b8d48071/fpsyg-13-966571-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/14f38bc6ff05/fpsyg-13-966571-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/f69dcae86dab/fpsyg-13-966571-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/c747043190e8/fpsyg-13-966571-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/3cd4e03ae7db/fpsyg-13-966571-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/87ad3a9f3211/fpsyg-13-966571-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/e9b553f41049/fpsyg-13-966571-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/567d/9556761/24875891a38a/fpsyg-13-966571-g009.jpg

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