FlexEvent: going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequences

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dc.contributor.authorLinden, Sanne van deren_US
dc.contributor.authorWulterkens, Bernice M.en_US
dc.contributor.authorGilst, Merel M. vanen_US
dc.contributor.authorOvereem, Sebastiaanen_US
dc.contributor.authorPul, Carola vanen_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.authorElzen, Stef van denen_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2023-06-10T06:16:40Z
dc.date.available2023-06-10T06:16:40Z
dc.date.issued2023
dc.description.abstractIn many domains, multivariate event sequence data is collected focused around an entity (the case). Typically, each event has multiple attributes, for example, in healthcare a patient has events such as hospitalization, medication, and surgery. In addition to the multivariate events, also the case (a specific attribute, e.g., patient) has associated multivariate data (e.g., age, gender, weight). Current work typically only visualizes one attribute per event (label) in the event sequences. As a consequence, events can only be explored from a predefined case-centric perspective. However, to find complex relations from multiple perspectives (e.g., from different case definitions, such as doctor), users also need an event- and attribute-centric perspective. In addition, support is needed to effortlessly switch between and within perspectives. To support such a rich exploration, we present FlexEvent: an exploration and analysis method that enables investigation beyond a fixed case-centric perspective. Based on an adaptation of existing visualization techniques, such as scatterplots and juxtaposed small multiples, we enable flexible switching between different perspectives to explore the multivariate event sequence data needed to answer multi-perspective hypotheses. We evaluated FlexEvent with three domain experts in two use cases with sleep disorder and neonatal ICU data that show our method facilitates experts in exploring and analyzing real-world multivariate sequence data from different perspectives.en_US
dc.description.number3
dc.description.sectionheadersVisualization Techniques I: Sequences and High-dimensional Data
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14820
dc.identifier.issn1467-8659
dc.identifier.pages161-172
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14820
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14820
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 -> Visual analytics; Visualization
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectVisualization
dc.titleFlexEvent: going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequencesen_US
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