Immersive analytics interactive authoring tool - interacting with data in immersive environments

数据分析正日益成为各种不同行业的重要因素。专业人士和分析师必须理解大量复杂的数据，并利用可视化和计算工具来做到这一点。然而，现有的桌面分析工具受到当前计算机显示器的有限尺寸和2D性质的限制，无法支持空间思维和分析。沉浸式环境(虚拟、增强和混合现实)中的数据可视化以及与数据的交互可以增强数据探索和理解。我们打算为沉浸式分析应用程序构建一个商业交互创作工具(IAT)，以支持沉浸式环境中的数据交互。我们的系统提供了交互创作和浏览抽象和地理空间数据的增强现实可视化的工具。这包括以交互方式加载原始数据并将数据文件转换为复杂的三维可视化的机制，这些可视化可以使用虚拟和增强现实硬件进行探索。将这些可视化上传到增强现实设备(包括头盔显示器或兼容AR的平板电脑)后，用户可以在真实的物理空间(如办公室、会议室和现场)中就地定位、组织和检查这些数据可视化。这种方法提供了比传统屏幕显示更高的空间分辨率，还支持自然的物理导航和操作。此外，用户可以利用物理空间来组织他们的数据和分析，将重要的数据和可视化移动到更容易访问的位置，同时在空间上对其他位置进行群集。用户还可以使用该工具在相关物理环境、现场或与物理样本或样本一起检查数据。通过使用协调的后端，多个观众可以在相同的空间位置看到相同的可视化集合，支持共享意识并促进协作分析。IAT提供了一个独特的分析环境，该环境有可能支持广泛的新分析实践，这些实践更深入地利用人类的空间感知，并提供分析工具与物理世界的更深层次集成。

Data analysis is increasingly becoming an important factor in a wide variety of different industries. Professionals and analysts must make sense of large amounts of complex data and leverage visual and computational tools to do so. However, existing desktop analytic tools are restricted by the limited size and 2D nature of current computer displays and fail to support spatial thinking and analysis. The visualization of data in immersive environments (Virtual-, Augmented-, and Mixed-reality) and interaction with data can enhance data exploration and understanding. We intend to build a commercial Interactive Authoring Tool (IAT) for immersive analytics applications that enables data interaction in immersive environments. Our system provides tools for interactively authoring and browsing augmented reality visualizations of both abstract and geospatial data. This includes mechanisms for interactively loading raw data and transforming data files into complex three-dimensional visualizations that can be explored using virtual- and augmented-reality hardware. Once these visualizations are uploaded to augmented reality devices (including head-mounted displays or AR-compatible tablets) users can position, organize, and examine these data visualizations in-situ within real physical spaces such as offices, meeting rooms, and field sites. This approach provides greater spatial resolution than traditional on-screen displays and also supports natural physical navigation and manipulation. Additionally, users can leverage physical space to organize their data and analyses, moving important data and visualizations to more easily-accessible locations, while spatially clustering others. Users can also use the tool to examine data in-context in related physical environments, at field sites, or alongside physical specimens or samples. By using a coordinated backend, multiple viewers can see the same set of visualizations at the same spatial locations, supporting shared awareness and promoting collaborative analysis.The IAT provides a unique analysis environment that has the potential to support a wide range of new analysis practices that more deeply leverage human spatial perception and provide deeper integration of analysis tools with the physical world.