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dc.contributor.authorSeipp, Karsten
dc.contributor.authorOchoa, Xavier
dc.contributor.authorGutiérrez, Francisco
dc.contributor.authorVerbert, Katrien
dc.contributor.editorWeyers, Benjamin
dc.contributor.editorDittmar, Anke
dc.date.accessioned2017-06-17T20:19:15Z
dc.date.available2017-06-17T20:19:15Z
dc.date.issued2016
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/316
dc.description.abstractThis paper proposes a research agenda to tackle the challenges of uncertainty in Visual Analytics. We propose a four-pronged strategy that addresses the need of both entities involved, human and computer. It comprises the communication of uncertainty in data and model, the communication of uncertainty regarding user intent and knowledge, human to human information interchange, as well as the definition of suitable, interactive means for conducting this dialogue with precision and ease.
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 – Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleA Research Agenda for Managing Uncertainty in Visual Analytics
dc.typeworkshop
dc.pubPlaceAachen
mci.document.qualitydigidocde_DE
mci.conference.sessiontitleHuman Factors in Information Visualization and Decision Support System
mci.conference.locationAachen
mci.conference.date4.-7. September 2016
dc.identifier.doi10.18420/muc2016-ws11-0007


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