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Augmented situated visualization methods towards electromagnetic compatibility testing
Federal University of Rio Grande do Sul (UFRGS), Institute of Informatics (INF), Porto Alegre, Brazil | Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-3764-4235
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2783-7460
Federal University of Rio Grande do Sul (UFRGS), Institute of Informatics (INF), Porto Alegre, Brazil.
2021 (English)In: Computers & graphics, ISSN 0097-8493, E-ISSN 1873-7684, Vol. 94, p. 1-10Article in journal (Refereed) Published
Abstract [en]

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. © 2020 Elsevier Ltd

Place, publisher, year, edition, pages
Oxford: Elsevier, 2021. Vol. 94, p. 1-10
Keywords [en]
Augmented reality, Visualization, 3D interaction, Situated analytics, Electromagnetic compatibility
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-43698DOI: 10.1016/j.cag.2020.10.001Scopus ID: 2-s2.0-85093689729OAI: oai:DiVA.org:hh-43698DiVA, id: diva2:1509484
Note

Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, partly by Fapergs-Brazil PqG2017 Project CHIHC, and also partly by the Swedish Council for Higher Education (UHR).

We also acknowledge the support from CNPq-Brazil 311353/2017-7, and a Linnaeus-Palme grant within the partnership (3.3.1.34.11116-2019) between the School of Information Technology at Halmstad University and the Institute of Informatics at UFRGS for their financial support.

Available from: 2020-12-14 Created: 2020-12-14 Last updated: 2021-04-13Bibliographically approved

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Andreasson, PererikNilsson, Emil

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CiteExportLink to record
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