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Human Factors in Information Visualization and Decision Support Systems

dc.contributor.authorValdez, André Calero
dc.contributor.authorBrauner, Philipp
dc.contributor.authorZiefle, Martina
dc.contributor.authorKuhlen, Torsten Wolfgang
dc.contributor.authorSedlmair, Michael
dc.contributor.editorWeyers, Benjamin
dc.contributor.editorDittmar, Anke
dc.date.accessioned2017-06-17T20:19:18Z
dc.date.available2017-06-17T20:19:18Z
dc.date.issued2016
dc.description.abstractWith the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information Visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields.
dc.identifier.doi10.18420/muc2016-ws11-0000
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/328
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 – Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleHuman Factors in Information Visualization and Decision Support Systems
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date4.-7. September 2016
gi.conference.locationAachen
gi.conference.sessiontitleHuman Factors in Information Visualization and Decision Support System
gi.document.qualitydigidocde_DE

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