Immersive Analytics with Abstract 3D Visualizations: A Survey
Immersive Analytics with Abstract 3D Visualizations: A Survey
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DOI：
10.1111/cgf.14430
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发表时间：
2021-12
影响因子：
2.5
通讯作者：
M. Kraus;Johannes Fuchs;B. Sommer;Karsten Klein;U. Engelke;D. Keim;F. Schreiber
中科院分区：
文献类型：
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作者：
M. Kraus;Johannes Fuchs;B. Sommer;Karsten Klein;U. Engelke;D. Keim;F. Schreiber
经过长期的怀疑之后，越来越多的出版物不仅描述了基础研究，还描述了如何在沉浸式环境中呈现抽象数据以实现有效且高效的数据理解的实用方法。沉浸式分析研究中这一重要研究问题的核心涉及 3D 可视化的使用、沉浸式空间的嵌入、与空间数据的结合、合适的交互范式以及用例的评估。我们提供了有助于对已发表作品进行比较和分类的描述，并对出版物进行了调查，概述了当前研究的最新进展、当前趋势以及差距和挑战。
After a long period of scepticism, more and more publications describe basic research but also practical approaches to how abstract data can be presented in immersive environments for effective and efficient data understanding. Central aspects of this important research question in immersive analytics research are concerned with the use of 3D for visualization, the embedding in the immersive space, the combination with spatial data, suitable interaction paradigms and the evaluation of use cases. We provide a characterization that facilitates the comparison and categorization of published works and present a survey of publications that gives an overview of the state of the art, current trends, and gaps and challenges in current research.