Advancing Trust Visualisations for Wider Applicability and User AcceptanceVise andre og tillknytning
2017 (engelsk)Inngår i: Trustcom/BigDataSE/ICESS, 2017 IEEE, Piscataway: IEEE, 2017, s. 562-569Konferansepaper, Publicerat paper (Fagfellevurdert)
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
sted, utgiver, år, opplag, sider
Piscataway: IEEE, 2017. s. 562-569
Emneord [en]
data visualisation, decision making, trusted computing
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-65610DOI: 10.1109/Trustcom/BigDataSE/ICESS.2017.285ISI: 000428367500073ISBN: 978-1-5090-4906-6 (digital)ISBN: 978-1-5090-4907-3 (tryckt)OAI: oai:DiVA.org:kau-65610DiVA, id: diva2:1174279
Konferanse
IEEE Trustcom/BigDataSE/ICESS 1-4 Augusti 2017, Sydney, NSW, Australia
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