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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
Keywords
data visualisation, decision making, trusted computing
National Category
Computer Sciences Human Computer Interaction Interaction Technologies
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-65610 (URN)10.1109/Trustcom/BigDataSE/ICESS.2017.285 (DOI)000428367500073 ()978-1-5090-4906-6 (ISBN)978-1-5090-4907-3 (ISBN)
Conference
IEEE Trustcom/BigDataSE/ICESS 1-4 Augusti 2017, Sydney, NSW, Australia
2018-01-152018-01-152020-12-10Bibliographically approved