人工智能驱动的文化意识交互可视化:跨文化用户体验的设计方法
1School of Art and Design, Guilin University of Tourism, Guilin, China.
Annals of the New York Academy of Sciences
|February 6, 2026
概括
本研究介绍了人工智能驱动的交互式可视化,它结合了文化元素,大大提高了用户的满意度和全球不同受众的参与度. 新方法提高了跨文化沟通的有效性.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 文化研究 文化研究
背景情况:
- 当前的交互式信息可视化系统缺乏文化融合,阻碍跨文化沟通和用户参与.
- 多元化的全球观众需要文化敏感和适应性可视化工具来进行有效的互动.
研究的目的:
- 开发和验证一种方法来创建使用人工智能的文化适当的交互式可视化系统.
- 通过人工智能驱动的可视化,通过人工智能驱动的可视化,增强用户参与度,满意度,并在多元文化环境中降低认知负载.
主要方法:
- 开发了一种具有91.2%准确度的智能文化元素识别算法.
- 创建了一个适应性可视化生成框架,结合了文化偏好.
- 基于用户行为模式实现实时界面优化.
- 对来自不同文化背景的600名参与者进行了实验验证.
主要成果:
- 用户满意度增加了23.5%,用户参与度提高了31.7%.
- 与传统方法相比,认知负载减少了18.3%.
- 评估显示,在美学吸引力,功能可用性和文化适当性方面表现优越.
结论:
- 由人工智能驱动的,文化相关的交互式可视化显著改善了用户体验和在多元文化环境中的参与.
- 这项研究为为全球观众设计文化敏感的人工智能系统提供了实际框架.
- 这些发现有助于理解对可视化感知和设计的文化影响.
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