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dc.contributor.authorLi, Weien_US
dc.contributor.authorFunk, Mathiasen_US
dc.contributor.authorBrombacher, Aarnout C.en_US
dc.contributor.editorKai Lawonn and Noeska Smit and Lars Linsen and Robert Kosaraen_US
dc.date.accessioned2018-06-02T17:58:01Z
dc.date.available2018-06-02T17:58:01Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-066-6
dc.identifier.urihttp://dx.doi.org/10.2312/eurorv3.20181144
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurorv320181144
dc.description.abstractUncertainty 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.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleToward Visualizing Subjective Uncertainty: A Conceptual Framework Addressing Perceived Uncertainty through Action Redundancyen_US
dc.description.seriesinformationEuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)
dc.description.sectionheadersSession 2
dc.identifier.doi10.2312/eurorv3.20181144
dc.identifier.pages19-23


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