论文标题
组织沉浸分析的两个维度：迈向方面和位置的分类法
Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position
论文作者
论文摘要
随着沉浸式分析继续作为纪律增长，其潜在方法学支持也应。分类法对信息可视化和人类计算机交互作用起着重要作用。它们提供了特定领域中使用的技术的组织，使研究人员能够描述他们的工作，发现现有方法并识别文献中的差距。相关领域的现有分类法不会捕获或描述身临其境分析中使用的独特范例。我们概念化一种分类学，该分类法根据两个维度组织沉浸式分析：空间和视觉呈现。该分类法的每个交集都代表了一个独特的设计范式，当彻底探索时，它可以帮助新的身临其境分析应用的设计和研究。
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.
