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Evaluation of Uncertainty Visualization Techniques for Information Fusion
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2007 (English)In: 10th International Conference on Information Fusion, 2007, IEEE Press, 2007, 1-8 p.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 Press, 2007. 1-8 p.
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2107DOI: 10.1109/ICIF.2007.4408049ISI: 000256950200086Scopus ID: 2-s2.0-50149092454ISBN: 978-0-662-45804-3 OAI: oai:DiVA.org:his-2107DiVA: diva2:32383
Available from: 2008-05-30 Created: 2008-05-30 Last updated: 2013-03-18

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CiteExportLink to record
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Citation style
  • apa
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