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dc.contributor.authorGratzl, Samuelen_US
dc.contributor.authorLex, Alexanderen_US
dc.contributor.authorGehlenborg, Nilsen_US
dc.contributor.authorCosgrove, Nicolaen_US
dc.contributor.authorStreit, Marcen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:33:07Z
dc.date.available2016-06-09T09:33:07Z
dc.date.issued2016en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12925en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractThe primary goal of visual data exploration tools is to enable the discovery of new insights. To justify and reproduce insights, the discovery process needs to be documented and communicated. A common approach to documenting and presenting findings is to capture visualizations as images or videos. Images, however, are insufficient for telling the story of a visual discovery, as they lack full provenance information and context. Videos are difficult to produce and edit, particularly due to the non-linear nature of the exploratory process. Most importantly, however, neither approach provides the opportunity to return to any point in the exploration in order to review the state of the visualization in detail or to conduct additional analyses. In this paper we present CLUE (Capture, Label, Understand, Explain), a model that tightly integrates data exploration and presentation of discoveries. Based on provenance data captured during the exploration process, users can extract key steps, add annotations, and author ''Vistories'', visual stories based on the history of the exploration. These Vistories can be shared for others to view, but also to retrace and extend the original analysis. We discuss how the CLUE approach can be integrated into visualization tools and provide a prototype implementation. Finally, we demonstrate the general applicability of the model in two usage scenarios: a Gapminder-inspired visualization to explore public health data and an example from molecular biology that illustrates how Vistories could be used in scientific journals.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Information Systems]en_US
dc.subjectInformation Interfaces and Presentationen_US
dc.subjectUser Interfacesen_US
dc.subjectGraphical user interfacesen_US
dc.titleFrom Visual Exploration to Storytelling and Back Againen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersStory, History, and Evolutionen_US
dc.description.volume35en_US
dc.description.number3en_US
dc.identifier.doi10.1111/cgf.12925en_US
dc.identifier.pages491-500en_US


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