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A proposal for augmented situated visualization towards EMC testing
Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, Brazil.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), MPE-lab.ORCID iD: 0000-0003-2783-7460
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-3764-4235
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
2020 (English)In: CEUR Workshop Proceedings / [ed] Moser T.; Bruckner F., CEUR-WS , 2020, Vol. 2618, p. 12-15Conference paper, Published paper (Refereed)
Abstract [en]

Copyright © 2020 for this paper by its authors.In EMC testing, 3D electromagnetic field data often needs to be visually analysed by an expert in order to detect product defects or unwanted interference between multiple devices. In this sense, the present work proposes the use of data visualization techniques allied to an Augmented Reality user interface to provide information that helps professionals to analyse the same data, however spatially situated where it was first measured. Apart from visualizing it, users may also interact with the data to narrow down their search by switching the attributes being displayed, combining them together, applying filters or changing the formatting in which data is presented. The approaches being proposed in this work will ultimately be tested against each other in comparable 2D and 3D interactive visualizations of the same data in a series of usability assessments with users to validate the solutions. The goal is to ultimately expose whether AR can help users to make more accurate decisions, particularly in EMC related tasks.

Place, publisher, year, edition, pages
CEUR-WS , 2020. Vol. 2618, p. 12-15
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2618
Keywords [en]
Human-centered computing - Visualization - Visualization design and evaluation methods, Human-centered computing - Visualization - Visualization techniques - Treemaps
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:hh:diva-44698Scopus ID: 2-s2.0-85087841200OAI: oai:DiVA.org:hh-44698DiVA, id: diva2:1565869
Conference
2020 XChange Reality!, XCR 2020, 27-30/04, St. Polten, aut, 2020
Available from: 2021-06-14 Created: 2021-06-14 Last updated: 2021-06-14Bibliographically approved

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Nilsson, EmilAndreasson, Björn Pererik

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf