Exploration of Preference Models using Visual Analytics

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dc.contributor.authorBuchmüller, Raphaelen_US
dc.contributor.authorZymla, Mark-Matthiasen_US
dc.contributor.authorKeim, Danielen_US
dc.contributor.authorButt, Miriamen_US
dc.contributor.authorSevastjanova, Ritaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorNabney, Ianen_US
dc.contributor.editorPeltonen, Jaakkoen_US
dc.date.accessioned2024-05-21T08:51:21Z
dc.date.available2024-05-21T08:51:21Z
dc.date.issued2024
dc.description.abstractThe identification and integration of diverse viewpoints are key to sound decision-making. This paper introduces a novel Visual Analytics technique aimed at summarizing and comparing perspectives derived from established preference models. We use 2D projection and interactive visualization to explore user models based on subjective preference labels and extracted linguistic features. We then employ a pie-chart-like exploration design to enable the aggregation and simultaneous exploration of diverse preference groupings. The approach allows rotation and slicing interactions of the visual space. We demonstrate the technique's applicability and effectiveness through a use case in exploring the complex landscape of argument preferences. We highlight our designs potential to enhance decision-making processes within diverging preferences through Visual Analytics.en_US
dc.description.sectionheadersPapers
dc.description.seriesinformationMachine Learning Methods in Visualisation for Big Data
dc.identifier.doi10.2312/mlvis.20241127
dc.identifier.isbn978-3-03868-256-1
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/mlvis.20241127
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/mlvis20241127
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 → Visualization design and evaluation methods
dc.subjectHuman centered computing → Visualization design and evaluation methods
dc.titleExploration of Preference Models using Visual Analyticsen_US
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Machine Learning Methods in Visualisation for Big Data 2024