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dc.contributor.authorMathisen, Andreasen_US
dc.contributor.authorHorak, Tomen_US
dc.contributor.authorKlokmose, Clemens Nylandsteden_US
dc.contributor.authorGrønbæk, Kajen_US
dc.contributor.authorElmqvist, Niklasen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.date.accessioned2019-06-02T18:28:53Z
dc.date.available2019-06-02T18:28:53Z
dc.date.issued2019
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13717
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13717
dc.description.abstractAnalyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data-driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data-driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web-based INSIDEINSIGHTS system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisual analytics
dc.subjectVisualization toolkits
dc.subjectCollaborative and social computing
dc.titleInsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analyticsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersInteraction Techniques
dc.description.volume38
dc.description.number3
dc.identifier.doi10.1111/cgf.13717
dc.identifier.pages649-661


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  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

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