I Do Not Completely Trust Your Data - Towards Visualization Lexicons for Ambiguous and Incomplete Data

dc.contributor.authorRoss, Karly
dc.contributor.authorWillett, Wesley
dc.date.accessioned2024-10-21T21:30:58Z
dc.date.available2024-10-21T21:30:58Z
dc.date.issued2024-10-15
dc.description.abstractWe present two challenges associated with our current work on a visual lexicon that expresses data absences and ambiguities. First, most visualization approaches fail to express the potential ambiguity and incompleteness in the data they represent. This can pose a fundamental sense-making and communication challenge in contexts (like community organizing), where official data sources and local knowledge may have little overlap or even disagree. Second, indicating expectations, ambiguity, or contradiction between community and administrative data is likely to increase visualization complexity. This increased complexity poses challenges for accessibility and engagement. We outline our work to create a visual lexicon and address the interactions between these challenges.
dc.identifier.urihttps://hdl.handle.net/1880/119974
dc.language.isoenen
dc.publisherIEEE Vis 2024 Poster Track
dc.publisher.facultyScienceen
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en
dc.titleI Do Not Completely Trust Your Data - Towards Visualization Lexicons for Ambiguous and Incomplete Data
dc.typeOther
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