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Advancing Trust Visualisations for Wider Applicability and User Acceptance
Tech. Univ. Darmstadt, Darmstadt, Germany.
Tech. Univ. Darmstadt, Darmstadt, Germany.
Faculty of Human Sciences, Technische Universität Darmstadt, Germany.
Tech. Univ. Darmstadt, Darmstadt, Germany.
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2017 (English)In: Trustcom/BigDataSE/ICESS, 2017 IEEE, Piscataway: IEEE, 2017, p. 562-569Conference paper, Published paper (Refereed)
Abstract [en]

There are only a few visualisations targeting the communication of trust statements. Even though there are some advanced and scientifically founded visualisations-like, for example, the opinion triangle, the human trust interface, and T-Viz-the stars interface known from e-commerce platforms is by far the most common one. In this paper, we propose two trust visualisations based on T-Viz, which was recently proposed and successfully evaluated in large user studies. Despite being the most promising proposal, its design is not primarily based on findings from human-computer interaction or cognitive psychology. Our visualisations aim to integrate such findings and to potentially improve decision making in terms of correctness and efficiency. A large user study reveals that our proposed visualisations outperform T-Viz in these factors

Place, publisher, year, edition, pages
Piscataway: IEEE, 2017. p. 562-569
Keywords [en]
data visualisation, decision making, trusted computing
National Category
Computer Sciences Human Computer Interaction Interaction Technologies
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65610DOI: 10.1109/Trustcom/BigDataSE/ICESS.2017.285ISBN: 978-1-5090-4906-6 (electronic)ISBN: 978-1-5090-4907-3 (print)OAI: oai:DiVA.org:kau-65610DiVA, id: diva2:1174279
Conference
IEEE Trustcom/BigDataSE/ICESS 1-4 Augusti 2017, Sydney, NSW, Australia
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-07-05Bibliographically approved

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Volkamer, Melanie

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Department of Mathematics and Computer Science (from 2013)
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CiteExportLink to record
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  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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