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Augmented situated visualization methods towards electromagnetic compatibility testing

机译:增强位于电磁兼容性测试的可视化方法

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In electrical engineering, hardware experts often need to analyze electromagnetic radiation data to detect any external interference or anomaly. The field that studies this sort of assessment is called electromagnetic compatibility (EMC). As a way to support EMC analysis, we propose the use of Augmented Situated Visualization (ASV) to supply professionals with visual and interactive information that helps them to comprehend that data, however situating it where it is most relevant in its spatial context. Users are able to interact with the visualization by changing the attributes being displayed, comparing the overlaps of multiple fields, and extracting data, as a way to refine their search. The solutions being proposed in this work were tested against each other in comparable 2D and 3D interactive visualizations of the same data in a series of data-extraction assessments with users, as a means to validate the approaches. Results exposed a correctness-time trade-off between the interaction methods. The hand-based techniques (Hand Slider and Touch Lens) were the least error-prone, being near to half as error-inducing as the gaze-based method. Touch Lens also performed as the least time-consuming method, taking in average less than half of the average time required by the others. For the visualization methods tested, the 2D ray casts presented a higher usability score and lesser workload index than the 3D topology view, however exposing over two times the error ratio. Ultimately, this work exposes how AR can help users to have better performances in a decision-making context, particularly in EMC related tasks, while also furthering the research in the ASV field. (C) 2020 Elsevier Ltd. All rights reserved.
机译:在电气工程中,硬件专家通常需要分析电磁辐射数据以检测任何外部干扰或异常。研究这种评估的领域称为电磁兼容性(EMC)。作为支持EMC分析的方式,我们建议使用增强的位于可视化(ASV)来提供具有视觉和互动信息的专业人员,这些信息有助于他们理解数据,但是情况在其空间背景下最相关的数据。用户可以通过更改显示的属性,比较多个字段的重叠和提取数据来通过更改显示的属性来与可视化进行交互,以作为改进搜索的方式。在该工作中提出的解决方案在与用户的一系列数据提取评估中相同的2D和3D交互式可视化中彼此进行测试,作为验证方法的方法。结果在交互方法之间暴露了正确的时间权衡。基于手基技术(手滑块和触摸镜头)是易于错误的,靠近一半作为基于凝视的凝视的误区。触摸镜头还以最短的时间耗时的方法进行,平均不到其他时间所需的平均时间的一半。对于测试的可视化方法,2D射线投射呈现出比3D拓扑视图更高的可用性得分和较小的工作负载指数,但是误差比率超过两倍。最终,这项工作揭示了AR如何帮助用户在决策上下文中具有更好的表现,特别是在EMC相关任务中,同时还进一步进一步在ASV字段中的研究。 (c)2020 elestvier有限公司保留所有权利。

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