dc.contributor.author | Li, Wei | en_US |
dc.contributor.author | Funk, Mathias | en_US |
dc.contributor.author | Brombacher, Aarnout C. | en_US |
dc.contributor.editor | Kai Lawonn and Noeska Smit and Lars Linsen and Robert Kosara | en_US |
dc.date.accessioned | 2018-06-02T17:58:01Z | |
dc.date.available | 2018-06-02T17:58:01Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-3-03868-066-6 | |
dc.identifier.uri | http://dx.doi.org/10.2312/eurorv3.20181144 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurorv320181144 | |
dc.description.abstract | Uncertainty is usually technically defined with associated metrics by visualization researchers. Next to this rather objective description, there is a subjective notion to uncertainty considering human experiences eliciting a response to the perceived uncertainty. This article aims to complement the default technical notion with a subjective perspective of uncertainty as we experienced. As a starting point, we introduce a conceptual framework aiming to explain the consequential life-cycle of subjective uncertainty in relation with visualization methods. The framework is illustrated by a case in which the redundancy of logged game play behavior is visualized to assist the discovery of subjective uncertainty. Our preliminary results show that visualizing the Shannon entropy of categorical action labels can be a promising method to probe subjective uncertainty. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.3.3 [Computer Graphics] | |
dc.subject | Picture/Image Generation | |
dc.subject | Line and curve generation | |
dc.title | Toward Visualizing Subjective Uncertainty: A Conceptual Framework Addressing Perceived Uncertainty through Action Redundancy | en_US |
dc.description.seriesinformation | EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) | |
dc.description.sectionheaders | Session 2 | |
dc.identifier.doi | 10.2312/eurorv3.20181144 | |
dc.identifier.pages | 19-23 | |