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Nu-view: A visualization system for collaborative Co-located analysis of geospatial disease data

机译:Nu-view:一种可视化系统,用于协同协同定位地理空间疾病数据

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摘要

In general, many factors contribute to the spread of diseases among populations over large geographical areas. In practice, analysis of these factors typically requires expertise of multidisciplinary teams. In this paper, we present a visualization system which aims to support the visual analytics process involving multidisciplinary teams of analysts in colocated collaborative settings. The current prototype system allows coupled and decoupled modes of interaction, using a combination of personal visualizations on private small displays and group visualizations on a shared large display. We have conducted preliminary fieldwork and a review study of this prototype with a group of medical experts who have provided feedback on the current system and suggestions for other usage scenarios, as well as further improvements. We found that our target user group have a generally positive attitude towards the use of a shared display with support for the suggested interaction modes, even though these modes are substantially different from the way their groups currently conduct synchronous collaboration, and that additional support for sharing image and textual data over the geospatial data layer may be required.
机译:通常,许多因素导致疾病在大地理区域的人群中传播。实际上,分析这些因素通常需要多学科团队的专业知识。在本文中,我们提出了一个可视化系统,旨在支持可视化分析过程,该过程涉及位于同一地点的协作环境中的分析师的多学科团队。当前的原型系统通过使用私人小型显示器上的个人可视化和共享大型显示器上的组可视化的组合,允许耦合和解耦的交互模式。我们已经与一组医学专家一起对该原型进行了初步的现场工作和审查研究,他们提供了有关当前系统的反馈以及针对其他使用场景的建议,以及进一步的改进。我们发现,目标用户组对共享显示器的使用总体上持积极态度,并支持建议的交互模式,即使这些模式与他们的组当前进行同步协作的方式有很大不同,并且对共享的其他支持可能需要地理空间数据层上的图像和文本数据。

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