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Advancing Trust Visualisations for Wider Applicability and User Acceptance
Tech. Univ. Darmstadt, Darmstadt, Germany, DEU.
Tech. Univ. Darmstadt, Darmstadt, Germany, DEU.
Faculty of Human Sciences, Technische Universität Darmstadt, Germany, DEU.
Tech. Univ. Darmstadt, Darmstadt, Germany, DEU.
Vise 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
Tilgjengelig fra: 2018-01-15 Laget: 2018-01-15 Sist oppdatert: 2020-12-10bibliografisk kontrollert

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