Collaborative Data Analytics Using Virtual Reality

被引：0
|
作者：
Huyen Nguyen [1 ,3 ]
Ward, Benjamin [2 ]
Engelke, Ulrich [3 ]
Thomas, Bruce [4 ]
Bednarz, Tomasz [1 ,3 ]
机构：
[1] Univ New South Wales UNSW Art & Design, Sydney, NSW, Australia
[2] Murdoch Univ, Murdoch, WA, Australia
[3] CSIRO, Data61, Canberra, ACT, Australia
[4] Univ South Australia, Mawson Lakes, SA, Australia
来源：
2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) | 2019年
关键词：
Human-centered computing-Visualization-Visualization techniques-Treemaps; Human-centered computing-Visualization-Visualization design and evaluation methods;
D O I：
10.1109/vr.2019.8797845
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Immersive analytics allows a large amount of data and complex structures to be concurrently investigated. We propose a collaborative analytics system that benefits from new advances in immersive technologies for collaborators working in the early stages of data exploration. We implemented a combination of Star Coordinates and Star Plot visualisation techniques to support the visualisation of multidimensional data and the encoding of datasets using simple and compact visual representations. To support data analytics tasks, we propose tools and interaction techniques for users to build decision trees for visualising and analysing data in a top -down method.
引用
收藏
页码：1098 / 1099
页数：2
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