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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Vydané v:	Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Ročník 2014; s. 551
Hlavní autori:	Albers, Danielle, Correll, Michael, Gleicher, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2014
Predmet:	visualization design Information visualization perceptual study time series visualization
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