绘画作为情感的窗口,从技术转换的参与者图像中获得了洞察力
Hui-Ching Weng1,2, Liang-Yun Huang3, Longchar Imcha3
1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Road, East Dist., Tainan, 701401, Taiwan. hc6127@mail.ncku.edu.tw.
Scientific reports
|May 21, 2024
概括
这项研究用Python和OpenCV在图纸中量化了愤怒和快乐等情绪. 它揭示了不同的视觉元素,包括颜色和风格,代表不同的情绪状态.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 艺术分析 艺术分析
背景情况:
- 颜色与情绪之间的联系得到了充分的研究.
- 在情感表达中,空间概念和绘画风格的研究不足.
- 对艺术中主观情感表达的客观分析是具有挑战性的.
研究的目的:
- 通过绘画探索主要情绪 (愤怒,幸福,悲伤,恐惧) 的表达.
- 客观地分析色彩之外的视觉元素,例如空间概念和绘图风格.
- 将图纸中的主观情感感知转化为可测量的数据.
主要方法:
- 使用Python和OpenCV进行客观图像分析.
- 分析了来自182名大学生的728张数字图纸.
- 量化色彩突出,和,亮度,色彩填充,图像类型和面部表情.
主要成果:
- 特定的颜色关联:红色表示愤怒,黄色表示快乐,蓝色表示悲伤,黑色表示恐惧.
- 幸福显示最高的和度和亮度;恐惧显示最低.
- 恐惧的颜色填充率最高;幸福的颜色填充率最低.
- 有形的图像是普遍存在的,抽象的风格在恐惧中达到顶峰.
- 面部表情在情绪之间很常见.
- 获得了81.3%的愤怒预测准确度,超过了71.3%的整体平均水平.
结论:
- 颜色,空间概念和绘画风格等视觉元素客观地与主要情绪相关.
- 技术方法可以量化主观的艺术表达情绪.
- 进一步的研究应该完善方法,扩大情绪和影响因素的范围.
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