Task-Driven Evaluation of Aggregation in Time Series Visualization

Many visualization tasks require the viewer to make judgments about aggregate properties of data. Recent work has shown that viewers can perform such tasks effectively, for example to efficiently compare the maximums or means over ranges of data. However, this work also shows that such effectiveness...

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Veröffentlicht in:Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Jg. 2014; S. 551
Hauptverfasser: Albers, Danielle, Correll, Michael, Gleicher, Michael
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.01.2014
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