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Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality

机译:使用虚拟现实可视化实时异构智能城市数据

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As the size and dimensionality of big heterogeneous data increases, finding patterns and anomalies with existing visualization methods and tools poses a significant challenge. The majority of open data platforms that offer smart city data visualizations use browser-based two-dimensional (2D) visualizations as 2D displays are widely adopted. These displays are however ineffective in depicting multi-dimensional heterogeneous data. The recent growth in the virtual reality (VR) consumer market resulted in an affordable alternative for 3D visualizations. In this paper, we propose a VR system capable of visualizing real-time smart city data concerning the city of Brussels. A subset of external data sources that is already visualized in existing web platforms is incorporated in the VR application. A user study is conducted to assess perceived workloads and data immersion parameters for a set of data exploration tasks in three existing web platforms and in the proposed VR system. Results indicate significantly lower levels of perceived frustration and significantly higher levels of data intuitivity, immersion, overview in data, and intuitive interaction. However, no significant difference in total perceived workload is observed.
机译:随着大异构数据的尺寸和维度增加,发现具有现有可视化方法和工具的模式和异常构成了重大挑战。提供智能城市数据可视化的大多数开放数据平台使用基于浏览器的二维(2D)可视化作为2D显示器被广泛采用。然而,这些显示器在描绘多维异构数据时是无效的。最近的虚拟现实(VR)消费者市场的增长导致了3D可视化的负担得起的替代方案。在本文中,我们提出了一种能够可视化关于布鲁塞尔市的实时智能城市数据的VR系统。在VR应用程序中包含已在现有Web平台中可视化的外部数据源的子集。进行用户学习,以评估在三个现有的Web平台和所提出的VR系统中的一组数据探索任务的感知工作负载和数据浸入参数。结果表明感知挫折的较低程度明显较低,数据直观,浸入,数据概述明显较高,以及直观的相互作用。然而,观察到总感知工作量没有显着差异。

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