形势的现实:对情境分析的调查
IEEE transactions on visualization and computer graphics
|June 13, 2023
概括
增强现实 (AR) 能够实现定位分析,在现实世界中可视化有助于理解. 这项研究对47个AR系统进行了分类,以揭示更好的感知模式和设计见解.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 数据可视化 数据可视化
背景情况:
- 增强现实 (AR) 技术的进步使定位分析成为可能,将数据可视化集成到物理环境中.
- 位置分析利用用户位置进行现场数据解释和感知.
- 这个领域正在起,需要对现有系统及其能力有结构性的理解.
研究的目的:
- 系统地审查和分类现有的位置分析系统.
- 在位置分析中识别共同的模式和原型.
- 通过定位分析来获得设计指南,以增强感知能力.
主要方法:
- 文献审查以确定47个相关的定位分析系统.
- 使用基于定位触发器,视图定位和数据描绘的分类学来对系统进行分类.
- 组合集群分析以确定原型模式.
- 评估系统对感知过程的支持.
主要成果:
- 开发了一个分类系统来分类位于分析系统.
- 确定了四种不同的定位分析系统的原型模式.
- 分析显示,在各个系统中,对感知过程的支持水平各不相同.
- 为定位分析制定了关键见解和设计准则.
结论:
- 位置分析为位置感知数据解释提供了一个有前途的方法.
- 识别的模式和设计准则可以为未来的定位分析系统的开发提供信息.
- 进一步的研究可以建立在这个分类上,以探索AR环境中的高级感知能力.
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