视觉化:使用LLMs为可视化设计师自动化设计反
IEEE transactions on visualization and computer graphics
|June 13, 2025
概括
大型语言模型 (LLM) 为可视化设计提供定制反. 这项研究表明,即使是专家设计师也可以从LLM产生的指导中受益,以改进他们的视觉沟通策略.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 人工智能的人工智能
背景情况:
- 交互式可视化编辑器缺乏有效视觉沟通的指导.
- 大型语言模型 (LLM) 提供了一个提供设计辅助的机会.
研究的目的:
- 探索LLM在为可视化设计师提供可操作,定制反方面的潜力.
- 实施和评估一个系统 (Visualizationary) 使用LLMs进行可视化设计支持.
主要方法:
- 开发了可视化程序,将ChatGPT与可视化设计准则和感知过器集成在一起.
- 对13位可视化设计师 (新手,中级,专家) 进行了纵向用户研究,在几天内创建可视化.
主要成果:
- 通过LLM生成的自然语言指导帮助设计师改进他们的可视化.
- 在不同的经验水平,包括经验丰富的专业人士的反证明有价值.
结论:
- 通过提供定制的自然语言反,LLM可以有效地增强可视化设计过程.
- 这种方法提高了创建有效的视觉沟通,即使是经验丰富的设计师.
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