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dc.contributor.authorXu, Kaien_US
dc.contributor.authorOttley, Alvittaen_US
dc.contributor.authorWalchshofer, Connyen_US
dc.contributor.authorStreit, Marcen_US
dc.contributor.authorChang, Remcoen_US
dc.contributor.authorWenskovitch, Johnen_US
dc.contributor.editorSmit, Noeska and Oeltze-Jafra, Steffen and Wang, Beien_US
dc.description.abstractThere is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete picture of the current state of inquiry and identify knowledge gaps or possible avenues for further investigation. In this STAR, we aim to produce a comprehensive survey of work in the data visualization and visual analytics field that focus on the analysis of user interaction and provenance data. We structure our survey around three primary questions: (1) WHY analyze provenance data, (2) WHAT provenance data to encode and how to encode it, and (3) HOW to analyze provenance data. A concluding discussion provides evidence-based guidelines and highlights concrete opportunities for future development in this emerging area.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.titleSurvey on the Analysis of User Interactions and Visualization Provenanceen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersTrust and Provenance

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License