Coupling Guidance and Progressiveness in Visual Analytics

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dc.contributor.authorPĂ©rez-Messina, Ignacioen_US
dc.contributor.authorAngelini, Marcoen_US
dc.contributor.authorCeneda, Davideen_US
dc.contributor.authorTominski, Christianen_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorAndrienko, Nataliaen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2025-05-26T06:37:17Z
dc.date.available2025-05-26T06:37:17Z
dc.date.issued2025
dc.description.abstractData size and complexity in Visual Analytics (VA) pose significant challenges for VA systems and VA users. Two recent developments address these challenges: progressive VA (PVA) and guidance for VA (GVA). Both share the goal of supporting the analysis flow. PVA primarily considers the system perspective and incrementally generates partial results during long computations to avoid an unresponsive VA system. GVA is primarily concerned with the user perspective and strives to mitigate knowledge gaps during VA activities to prevent the analysis from stalling. Although PVA and GVA share the same goal, it has not yet been studied how PVA and GVA can join forces to achieve it. Our paper investigates this in detail. We structure our research around two questions: How can guidance enhance PVA and how can progressiveness enhance GVA? This leads to two main themes: Guidance for Progressiveness (G4P) and Progressiveness for Guidance (P4G). By exploring both themes, we arrive at a conceptual model of how progressiveness and guidance can work together. We illustrate the practical value of our theoretical considerations in two case studies of G4P and P4G.en_US
dc.description.sectionheadersEvaluation and Guidance
dc.description.seriesinformationComputer Graphics Forum
dc.identifier.doi10.1111/cgf.70115
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70115
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70115
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing→Visualization theory, concepts and paradigms; Visualization design and evaluation methods
dc.subjectHuman centered computing→Visualization theory
dc.subjectconcepts and paradigms
dc.subjectVisualization design and evaluation methods
dc.titleCoupling Guidance and Progressiveness in Visual Analyticsen_US
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