Comparative Study for Multiple Coordinated Views Across Immersive and Non-immersive Visualization Systems

Comparative Study for Multiple Coordinated Views Across Immersive and Non-immersive Visualization Systems
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跨沉浸式和非沉浸式可视化系统的多个协调视图的比较研究

DOI:
10.1007/978-3-030-21607-8_25
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发表时间:
2019
期刊:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
Venkateswara Dasari
Venkateswara Dasari
中科院分区:
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文献类型:
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作者:
S. Su;Vincent Perry;Venkateswara Dasari

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我们的目标是定性评估用户如何互动,探索异构的数据视图在新的混合2D和3D视觉分析应用程序,并评估态度的反应,这种应用程序的有用性。用于研究的应用程序可视化多个资产的模拟网络通信数据,并在多个视图中显示数据的拓扑,地理空间和时间方面。我们首先执行可用性测试,参与者完成几个探索性任务:一个是在可视化中识别相应的资产,另一个是识别特定资产之间的模式/关系。参与者使用几种不同的系统配置执行相同的任务:仅使用2D可视化,一起使用2D和3D可视化但作为单独的应用程序,以及使用2D和3D可视化以及跨两个系统的多个协调视图。之后,参与者完成了一个用户调查的问题,在用户的偏好和意见,每个系统对完成给定的任务的相对有效性进行探测。我们讨论了研究结果如何确认当前的系统设计决策,并评估了其他以用户为中心的特性,必须考虑到通知未来的设计决策。这些结果将为未来的行为定量研究提供假设和指导。
Our objective is to qualitatively assess how users interact with and explore heterogeneous views of data in novel hybrid 2D and 3D visual analytic applications, and assess attitudinal responses on the usefulness of such applications. The application used for the study visualizes simulated network communication data of multiple assets over time, and shows topological, geospatial, and temporal aspects of the data in multiple views. We first perform a usability test, where the participants complete a couple of exploratory tasks: one, identifying corresponding assets in a visualization, and two, identifying patterns/relationships between particular assets. Participants perform the same tasks using several different system configurations: using only 2D visualizations, using 2D and 3D visualizations together but as separate applications, and using the 2D and 3D visualizations together with multiple coordinated views across the two systems. Afterwards, participants complete a user survey of questions that probe at user preferences and opinions about the relative effectiveness of each system towards accomplishing the given tasks. We discuss how the results of the study confirm current system design decisions, and also evaluate additional user-centric characteristics that must be considered to inform future design decisions. These results will inform hypotheses and guidelines for a future behavioral, quantitative study.