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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Volk, F. Hauke, S. Dieth, D. Muhlhauser, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Telecooperation Lab., Darmstadt, Germany (Dieth, D.) || Tech. Univ. Darmstadt /CASED, Darmstadt, Germany (Volk, F.; Hauke, S.; Muhlhauser, M.) |
| Abstract | Visualisations are often used to communicate trust-worthiness to end users. Showing a number of stars, for example, is a well-known practice in e-commerce applications to communicate the quality of a product or service. Many products or services also have their quality - in terms of trustworthiness - described along more than one dimension, so that not only an overall trust score has to be communicated, but multiple scores, one for each dimension. Current visualisations of such a multicriterial trustworthiness are often based on the display of multiple individual star-like interfaces - a practice that offers room for improvement with regard to intuitive understanding of the displayed trust information. In this paper, we present T-Viz, a trust visualisation based on radar plots and pie charts. T-Viz concurrently shows multiple trust scores, one for each dimension, along with an aggregated trust score. Moreover, T-Viz also shows a reliability measure for every trust score graphically, in the form of a certainty score. The evaluation results from a pilot study with eleven participants indicate that T-Viz is an intuitive, comprehensible and clear interface. It succeeds at visualising and communicating multicriterial trust scores under uncertainty in one, easy to understand, graphical representation. |
| Starting Page | 391 |
| Ending Page | 397 |
| File Size | 220495 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479935024 |
| e-ISBN | 9781479935031 |
| DOI | 10.1109/PST.2014.6890965 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-23 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Uncertainty Image color analysis Data visualization Radar Color Labeling |
| Content Type | Text |
| Resource Type | Article |
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