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Interaction Techniques for Case Selection in Medical Computer Based Training Systems.

dc.contributor.authorBade, Ragnar
dc.contributor.authorCordes, Jeanette
dc.contributor.authorMewes, Maik
dc.contributor.authorPreim, Bernhard
dc.contributor.editorHerczeg, Michaelde_DE
dc.contributor.editorKindsmüller, Martin Christofde_DE
dc.date.accessioned2020-08-13T10:43:57Z
dc.date.available2020-08-13T10:43:57Z
dc.date.issued2008de_DE
dc.description.abstractThe vast majority of medical computer-based training (CBT) systems aim at problem-oriented case based training. A crucial issue in the design of CBT systems is the selection of appropriate cases for a representative collection of medical cases. Another issue is the presentation of those case collections to the users. With simple numbered list (e.g. Case 1, Case 2, …) goal-oriented case selection driven by learning objectives and clinical problems is not feasible. In this paper, we investigate interactive information visualization techniques, which promise a more sophisticated case selection. We analyze, compare, and empirically evaluate their appropriateness for case selection in medical CBT systems. Whereas analysis results show superiority of interactive information visualization techniques, the empirical evaluation reveals preference of the target group for simple tabular representations.en
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/33460
dc.language.isoen
dc.publisherOldenbourg Verlagde_DE
dc.relation.ispartofMensch und Computer 2008: Viel Mehr Interaktionde_DE
dc.relation.ispartofMensch und Computer 2008 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.titleInteraction Techniques for Case Selection in Medical Computer Based Training Systems.en
dc.typeText/Conference Paper
gi.citation.endPage256
gi.citation.publisherPlaceMünchende_DE
gi.citation.startPage247
gi.conference.date07.-10.09.2008
gi.conference.locationLübeck
gi.conference.sessiontitleMCI: Full Paper
gi.document.qualitydigidoc

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