环境题材数字绘画中光与色对情感与认知的影响

IF 3.4 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Witthaya Hosap, Chaowanan Khundam, Patibut Preeyawongsakul, Varunyu Vorachart, Frédéric Noël
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引用次数: 0

摘要

本研究旨在检验数字绘画中光线和颜色的使用及其对观众对环境问题感知的影响。已经设计了五幅描绘环境问题的数字绘画。数字绘画技术创造了黑白、单色和彩色图像。每幅图像都使用乌托邦和反乌托邦的视觉概念来传达希望和绝望。在实验中,225名代表大学学生的志愿者被分为三组:第一组提供黑白图像,第二组提供单色图像,第三组提供彩色图像。在观看完每张图像后,参与者被要求完成关于他们对环境问题的情绪和认知的问卷调查,包括识别希望和绝望,以及艺术家最后的视角。分析显示,参与者在情绪和认知方面没有差异。然而,单色图像最能表达情感。研究结果表明,图像周围的气氛造成了绝望,而物体激发了希望。艺术家应该强调气氛和图像中物体的构成,以传达乌托邦和反乌托邦的概念,提高人们对环境问题的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of Light and Color in Digital Paintings of Environmental Issues on Emotions and Cognitions
This study aimed to examine the use of light and color in digital paintings and their effect on audiences’ perceptions of environmental issues. Five digital paintings depicting environmental issues have been designed. Digital painting techniques created black-and-white, monochrome, and color images. Each image used utopian and dystopian visualization concepts to communicate hope and despair. In the experiment, 225 volunteers representing students in colleges were separated into three independent groups: the first group was offered black-and-white images, the second group was offered monochromatic images, and the third group was offered color images. After viewing each image, participants were asked to complete questionnaires about their emotions and cognitions regarding environmental issues, including identifying hope and despair and the artist’s perspective at the end. The analysis showed no differences in emotions and cognitions among participants. However, monochromatic images were the most emotionally expressive. The results indicated that the surrounding atmosphere of the images created despair, whereas objects inspired hope. Artists should emphasize the composition of the atmosphere and the objects in the image to convey the concepts of utopia and dystopia to raise awareness of environmental issues.
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来源期刊
Informatics
Informatics Social Sciences-Communication
CiteScore
6.60
自引率
6.50%
发文量
88
审稿时长
6 weeks
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