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Augmented Situated Visualization Methods towards Electromagnetic Compatibility Testing
Computers & Graphics ( IF 2.5 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.cag.2020.10.001
Renan Guarese 1, 2 , Pererik Andreasson 3 , Emil Nilsson 3 , Anderson Maciel 1
Affiliation  

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.

中文翻译:


电磁兼容性测试的增强情景可视化方法



在电气工程中,硬件专家经常需要分析电磁辐射数据以检测任何外部干扰或异常情况。研究此类评估的领域称为电磁兼容性 (EMC)。作为支持 EMC 分析的一种方式,我们建议使用增强情景可视化 (ASV) 为专业人员提供可视化和交互式信息,帮助他们理解数据,但将其放置在与空间环境最相关的位置。用户可以通过更改显示的属性、比较多个字段的重叠以及提取数据来与可视化进行交互,作为优化搜索的一种方式。这项工作中提出的解决方案在与用户进行的一系列数据提取评估中,在相同数据的可比 2D 和 3D 交互式可视化中进行了相互测试,作为验证这些方法的一种手段。结果揭示了交互方法之间正确性与时间的权衡。基于手动的技术(手动滑块和触摸镜头)是最不容易出错的,其引起的错误几乎是基于凝视的方法的一半。 Touch Lens 也是最耗时的方法,平均所需时间不到其他方法的一半。对于测试的可视化方法,2D 射线投射比 3D 拓扑视图具有更高的可用性分数和更小的工作负载指数,但暴露的错误率是其两倍以上。最终,这项工作揭示了 AR 如何帮助用户在决策环境中获得更好的表现,特别是在 EMC 相关任务中,同时也进一步推进了 ASV 领域的研究。
更新日期:2021-02-01
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