揭开沉浸式分析的设计空间:一个系统审查
IEEE transactions on visualization and computer graphics
|October 25, 2023
概括
沉浸式分析 (IA) 使用虚拟和增强现实进行数据探索. 本次审查确定了五个关键维度:理论,技术,数据,空间和视觉呈现,以指导未来IA系统的设计.
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:
- 沉浸式分析 (IA) 是一个新兴领域,将沉浸式技术 (虚拟和增强现实) 与数据分析相结合.
- 显示和交互技术的进步正在推动数据探索和决策的新方法.
- 需要对IA系统设计有结构的理解,以指导未来的研发.
研究的目的:
- 系统地审查有关沉浸式分析系统和可视化的现有文献.
- 识别和分类影响IA系统设计的核心维度.
- 发现设计维度之间的趋势和关系,以便明智地进行未来的开发.
主要方法:
- 对2013年至2022年间发表的73项研究进行了系统的文献审查.
- 确定并分析了五个关键维度:学术理论和贡献,沉浸式技术,数据,空间呈现和视觉呈现.
- 检查每个维度单独,并探索跨维度的关系.
主要成果:
- 确定和分类了影响IA设计的五个主要维度.
- 对每个维度的详细分析提供了对当前实践和研究趋势的见解.
- 交叉引用维度揭示了相互依赖关系,并为IA可视化设计策略提供了信息.
结论:
- 已识别的维度为理解和设计沉浸式分析系统提供了一个框架.
- 本综述为IA快速发展的领域的研究人员和从业人员提供了有价值的指导.
- 未来的IA系统设计可以通过考虑理论贡献,沉浸式技术,数据特征和空间/视觉呈现策略的相互作用来增强.
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