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Evaluation of Uncertainty Visualization Techniques for Information Fusion
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID iD: 0000-0003-2900-9335
2007 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper highlights the importance of uncertainty visualization in information fusion, reviews general methods of representing uncertainty and presents perceptual and cognitive principles from Tufte, Chambers and Bertin as well as users experiments documented in the literature. Examples of uncertainty representations in information fusion are analyzed using these general theories. These principles can be used in future theoretical evaluations of existing or newly developed uncertainty visualization techniques before usability testing with actual users.

Place, publisher, year, edition, pages
IEEE, 2007. p. 1-8
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:hj:diva-43294DOI: 10.1109/ICIF.2007.4408049ISI: 000256950200086Scopus ID: 2-s2.0-50149092454Local ID: 0;0;miljJAILISBN: 978-0-662-45804-3 (print)OAI: oai:DiVA.org:hj-43294DiVA, id: diva2:1293840
Conference
10th International Conference on Information Fusion, 2007
Available from: 2008-05-30 Created: 2019-03-05 Last updated: 2019-08-23Bibliographically approved

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Riveiro, Maria

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • en-US
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  • text
  • asciidoc
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