Visual Journey Analytics: Lessons Learned from Real-world Implementations

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dc.contributor.authorBrath, Richarden_US
dc.contributor.authorAndersen, Paulen_US
dc.contributor.authorMatusiak, Martinen_US
dc.contributor.authorGerber, Raymonden_US
dc.contributor.editorArleo, Alessioen_US
dc.contributor.editorvan den Elzen, Stefen_US
dc.contributor.editorvon Landesberger, Tatianaen_US
dc.contributor.editorRehse, Jana-Rebeccaen_US
dc.contributor.editorPufahl, Luiseen_US
dc.contributor.editorZerbato, Francescaen_US
dc.date.accessioned2024-05-21T09:09:52Z
dc.date.available2024-05-21T09:09:52Z
dc.date.issued2024
dc.description.abstractProcess mining and more broadly journey analytics create sequences that can be understood with graph-oriented visual analytics. We have designed and implemented more than a dozen visual analytics on sequence data in production software over the last 20 years. We outline a variety of data challenges, user tasks, visualization layouts, node and edge representations, and interactions, including strengths and weaknesses and potential future research.en_US
dc.description.seriesinformationVIPRA 2024 - Visual Process Analytics Workshop
dc.identifier.doi10.2312/vipra.20241105
dc.identifier.isbn978-3-03868-254-7
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/vipra.20241105
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vipra20241105
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Field studies; Interaction design process and methods; Visual analytics
dc.subjectHuman centered computing → Field studies
dc.subjectInteraction design process and methods
dc.subjectVisual analytics
dc.titleVisual Journey Analytics: Lessons Learned from Real-world Implementationsen_US
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