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信息图形的语言:了解科学故事讲述中的概念隐喻使用方法
IEEE transactions on visualization and computer graphics
|September 17, 2024
概括
本研究介绍了一种正式的方法来理解科学信息图形中的视觉概念隐喻. 它确定了常见的模式,并开发了一个工具来分析隐喻如何解释复杂的科学概念.
科学领域:
- 认知语言学 认知语言学
- 科学可视化科学可视化
- 科学传播科学传播
背景情况:
- 隐喻对于在像信息图形这样的可视化中解释复杂的科学概念至关重要.
- 目前科学中视觉隐喻的使用往往是直观的,缺乏用于分析和创作的正式工具.
- 需要一种分类学和语法来指导科学信息图形中的视觉组件的设计.
研究的目的:
- 将概念隐喻理论 (CMT) 应用于科学可视化领域.
- 在科学信息图形中对视觉概念隐喻的模式进行分类和理解.
- 开发一个框架来分析和描述在视觉科学传播中的隐喻使用.
主要方法:
- 将概念隐喻理论 (CMT) 映射到可视化领域.
- 基于对现有科学信息图形的分析组件进行视觉概念映射的分类.
- 详细分析了来自四个不同的科学领域的数据:生物医学,气候,太空和人类学.
主要成果:
- 识别了在不同科学领域使用视觉概念隐喻的模式.
- 解决了关于科学表征中概念隐喻的具体选择的模两可.
- 研究发现,在解释复杂的科学概念时,存在论和定向概念比喻是最常见的.
结论:
- 该研究提供了一种正式的方法来理解和描述科学信息图表中的视觉概念隐喻.
- 在科学表征中开发了视觉概念映射的分类系统.
- 创建了一个视觉探索工具,以分析和说明视觉概念隐喻在信息图表中的分解.
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