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Predicting Perceived Screen Clutter By Feature Congestion

dc.contributor.authorLafleur, Chrisde_DE
dc.contributor.authorRummel, Bernardde_DE
dc.contributor.editorEibl, Maximiliande_DE
dc.date.accessioned2017-11-22T15:03:31Z
dc.date.available2017-11-22T15:03:31Z
dc.date.issued2011
dc.description.abstractAdding functionality to a computer user interface frequently results in adding more visual features to the screen. The question of when, exactly, a screen becomes too crowded is often answered arbitrarily, or via expensive usability testing. The present study investigates an algorithm presented by Rosenholtz et al. to calculate “Feature Congestion” as a measure of visual clutter on the screen, and whether or not it can accurately predict users’ experiencing a screen as being cluttered (2005, 2007a). Screenshots of websites which were equidistant in Feature Congestion were subject to a psychophysical paired comparison scaling experiment with 29 participants. Results from the experiment indicate that the Feature Congestion model can accurately predict perceptions of visual clutter on a computer user interface. Practical implications of the present findings are also discussed.de_DE
dc.identifier.isbn978-3-486-71235-3en_US
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/7917
dc.language.isoenen_US
dc.publisherOldenbourg Verlagde_DE
dc.relation.ispartofMensch & Computer 2011: überMEDIEN|ÜBERmorgende_DE
dc.subjectfeature congestionde_DE
dc.subjectclutterde_DE
dc.subjectvisualizationde_DE
dc.subjectdisplay designde_DE
dc.subjectevaluationde_DE
dc.subjectpaired comparisonde_DE
dc.titlePredicting Perceived Screen Clutter By Feature Congestionde_DE
dc.typeText/Conference Paperde_DE
gi.citation.endPage109
gi.citation.publisherPlaceMünchende_DE
gi.citation.startPage101de_DE
gi.conference.sessiontitleOberflächengestaltungde_DE
gi.document.qualitydigidocen_US

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