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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Bibliographic Details
Published in:Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Vol. 2014; p. 551
Main Authors: Albers, Danielle, Correll, Michael, Gleicher, Michael
Format: Journal Article
Language:English
Published: United States 01.01.2014
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