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Augmented situated visualization methods towards electromagnetic compatibility testing

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 Augme...

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Autores principales: Guarese, Renan, Andreasson, Pererik, Nilsson, Emil, Maciel, Anderson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560504/
https://www.ncbi.nlm.nih.gov/pubmed/33082609
http://dx.doi.org/10.1016/j.cag.2020.10.001
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author Guarese, Renan
Andreasson, Pererik
Nilsson, Emil
Maciel, Anderson
author_facet Guarese, Renan
Andreasson, Pererik
Nilsson, Emil
Maciel, Anderson
author_sort Guarese, Renan
collection PubMed
description 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.
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spelling pubmed-75605042020-10-16 Augmented situated visualization methods towards electromagnetic compatibility testing Guarese, Renan Andreasson, Pererik Nilsson, Emil Maciel, Anderson Comput Graph Special Section on SVR 2020 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. Elsevier Ltd. 2021-02 2020-10-15 /pmc/articles/PMC7560504/ /pubmed/33082609 http://dx.doi.org/10.1016/j.cag.2020.10.001 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Special Section on SVR 2020
Guarese, Renan
Andreasson, Pererik
Nilsson, Emil
Maciel, Anderson
Augmented situated visualization methods towards electromagnetic compatibility testing
title Augmented situated visualization methods towards electromagnetic compatibility testing
title_full Augmented situated visualization methods towards electromagnetic compatibility testing
title_fullStr Augmented situated visualization methods towards electromagnetic compatibility testing
title_full_unstemmed Augmented situated visualization methods towards electromagnetic compatibility testing
title_short Augmented situated visualization methods towards electromagnetic compatibility testing
title_sort augmented situated visualization methods towards electromagnetic compatibility testing
topic Special Section on SVR 2020
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560504/
https://www.ncbi.nlm.nih.gov/pubmed/33082609
http://dx.doi.org/10.1016/j.cag.2020.10.001
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