2019
DOI: 10.1109/mcg.2019.2897927
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Augmented Reality Graph Visualizations

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Cited by 32 publications
(23 citation statements)
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References 12 publications
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“…They found that analysts benefit from AR and VR when estimating depth and height but also that color perception in video see-through AR is challenging. The impact of different edge types for node-link diagrams in AR was investigated by Büschel et al [16]. Batch et al [11] found that analysts are highly interested, present, and engaged when analyzing data in immersive environments.…”
Section: Immersive Analyticsmentioning
confidence: 99%
See 1 more Smart Citation
“…They found that analysts benefit from AR and VR when estimating depth and height but also that color perception in video see-through AR is challenging. The impact of different edge types for node-link diagrams in AR was investigated by Büschel et al [16]. Batch et al [11] found that analysts are highly interested, present, and engaged when analyzing data in immersive environments.…”
Section: Immersive Analyticsmentioning
confidence: 99%
“…This provides a clear visual link that extends from the original selection to the linked data and is therefore more easily perceptible than highlights. These links can encode additional values, for example using the color and height [91] or the shape of the curve [16]. Analysts can also filter the links, e.g., to display only links of certain attributes, thus further enhancing the analysis process and contributing to C.2 Managing Density and Complexity.…”
Section: Ar Brushing and Linkingmentioning
confidence: 99%
“…In contrast, encoding ordinal data had color rated second lowest, with animated techniques being preferred. A follow-up study [138] with 18 participants showed that even other edge variants based on shapes or geometry have some benefits in AR. Summary: There seems to be a tendency to simpler representations if many edge properties are contained in a graph dataset, for example, as bar charts [136].…”
Section: B: Edge Propertiesmentioning
confidence: 99%
“…由于商 业沉浸式设备具有可移动性, 因此, 用户不再局限 于坐姿以及固定的物理场景, 从而让分析者脱离 桌面办公环境而在数据采集的实地进行实时的分 析成为可能. 此外, 多人共同使用沉浸式设备为合 作式任务提供新的模式 [58] ; 基于个人数据(如旅游 日志、社交媒体)的个人可视化需求也为沉浸式可 视化融入日常生活提供了契机 [35,59] [21][22] 以及三维空间中边与轨迹 的设计 [12,[23][24] , 用户感知数据的方式有限. 触觉 [14] 、 嗅觉 [27] [42] 、使用有 形用户界面增加选择精度 [40] , 以及设计新颖手势 减轻疲劳 [44] .…”
Section: 三维视觉感知unclassified