4.4 Article

Interactive Extended Reality Techniques in Information Visualization

期刊

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
卷 52, 期 6, 页码 1338-1351

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/THMS.2022.3211317

关键词

Extended reality (XR); immersive environment; information visualization (InfoVis); virtual reality (VR)

资金

  1. National Natural Science Foundation of China [61702271, 61972010]
  2. Open Research Fund of Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University [BTBD-2021KF04]

向作者/读者索取更多资源

Immersive techniques, such as virtual reality, augmented reality, and mixed reality, provide immersive experience using immersive displays. While most methods focus on visualizing scientific data, this survey explores the interactive information visualization (InfoVis) in immersive environments. In the era of data explosion, the traditional 2D space fails to convey abstract information intuitively, and desktop-based 3D InfoVis leads to visual conflict due to limitations. This survey summarizes interactive techniques in immersive InfoVis and categorizes abstract information data types, discusses visual presentation, and describes immersive applications.
Immersive techniques, such as virtual reality, augmented reality, and mixed reality, take immersive displays as carriers to provide immersive experience. A large number of approaches focus on the visualization of scientific data in immersive environments while just a few methods concentrate on interactive information visualization (InfoVis) in an immersive environment, although InfoVis has been extended to the 3-D space for a long time. In the era of data explosion, the traditional 2-D space is unable to convey large amounts of abstract information in an intuitive way. Meanwhile, desktop-based 3-D InfoVis generally leads to visual conflict and confusion owing to limited display size and field of vision. In this survey, we search for the interactive techniques in immersive InfoVis and summarize their commonalities and discuss their differences and potential trends. The data types of abstract information in InfoVis can be categorized into graph/network data, high-dimensional and multivariate data, time-varying data, and text and document data. Besides, the visual presentation of information in immersive environments is also summarized, especially for charts, plots, and diagrams, which are some basic components of InfoVis techniques. We also described the immersive applications of InfoVis techniques, including the tools or frameworks on immersive analytics and infographics. The discussion about the traditional nonimmersive and the immersive methods in data visualizations show that the latter one has the potential to become an alternative to explore massive information in the future.

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