组织沉浸式分析的两个维度：面向方面和位置的分类法
Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position
摘要：
随着沉浸式分析作为一门学科的不断发展，其底层的方法支持也应该如此。分类在信息可视化和人机交互中起着重要的作用。它们提供了在特定领域中使用的技术的组织，使研究人员能够更好地描述他们的工作，发现现有的方法，并确定文献中的差距。相关领域的现有分类法没有捕捉或描述沉浸式分析中采用的独特范例。我们概念化的分类，组织沉浸式分析根据两个维度：空间和视觉呈现。这种分类法的每一个交叉点都代表了一种独特的设计范式，当深入研究时，可以帮助设计和研究新的沉浸式分析应用程序。
英文摘要：
As immersive analytics continues to grow as a discipline, so too should its underlying methodological support. Taxonomies play an important role for information visualization and human computer interaction. They provide an organization of the techniques used in a particular domain that better enable researchers to describe their work, discover existing methods, and identify gaps in the literature. Existing taxonomies in related fields do not capture or describe the unique paradigms employed in immersive analytics. We conceptualize a taxonomy that organizes immersive analytics according to two dimensions: spatial and visual presentation. Each intersection of this taxonomy represents a unique design paradigm which, when thoroughly explored, can aid in the design and research of new immersive analytic applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
