人工智能技术在新媒体艺术视觉传播进化的协同效应
Yan Zhao1,2
1Faculty of Innovation and Design, City University of Macau, Macau, 999078, China.
Heliyon
|September 27, 2024
概括
人工智能 (AI) 通过AI布局设计增强了新媒体艺术的视觉传播. 这种使用卷积神经网络 (CNN) 的人工智能方法在用户评估中优于传统设计.
科学领域:
- 视觉传播 视觉传播
- 人工智能的人工智能
- 新媒体艺术新媒体艺术
背景情况:
- 视觉通信设计正在随着新媒体艺术的发展而发展.
- 整合人工智能 (AI) 为设计创新提供了新的可能性.
研究的目的:
- 探索基于卷积神经网络 (CNN) 的AI布局设计方法.
- 为了澄清人工智能在新媒体视觉传播中的协同效应.
主要方法:
- 使用CNN设计和优化了一个AI布局设计模型.
- 利用深度学习和大数据分析来自动生成布局.
- 将AI算法与传统方法 (例如,和组合) 进行比较.
主要成果:
- 人工智能布局设计方法在总体评估 (5.95),文本可读性 (5.68) 和视觉路径理性 (5.74) 中获得了更高的分数.
- 由20名设计学生在利克特7分级别上对人工智能产生的设计进行了评估.
- 与传统的布局设计方法相比,人工智能方法显示出更高的性能.
结论:
- 生成型人工智能可以自动创建设计元素和方案.
- 人工智能为视觉通信设计的创新提供了有价值的参考.
- 人工智能技术对新媒体艺术视觉传播的发展做出了重大贡献.
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