= Menu

Comparing Averages in Time Series Data

Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, page 1095--1104 — May 2012
Download the publication : chi3.pdf [2.3Mo]   Comparing Averages in Time Series Data.pdf [3.1Mo]  
Visualizations often seek to aid viewers in assessing the big picture in the data, that is, to make judgments about aggregate properties of the data. In this paper, we present an empirical study of a representative aggregate judgment task: finding regions of maximum average in a series. We show how a theory of perceptual averaging suggests a visual design other than the typically-used line graph. We describe an experiment that assesses participants' ability to estimate averages and make judgments based on these averages. The experiment confirms that this color encoding significantly outperforms the standard practice. The experiment also provides evidence for a perceptual averaging theory.

Images and movies

 

BibTex references

@InProceedings{CAFG12,
  author       = "Correll, Michael and Albers, Danielle and Franconeri, Steve and Gleicher, Michael",
  title        = "Comparing Averages in Time Series Data",
  booktitle    = "Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems",
  pages        = "1095--1104",
  month        = "May",
  year         = "2012",
  publisher    = "ACM",
  doi          = "10.1145/2207676.2208556",
  projecturl   = "http://dl.acm.org/citation.cfm?id=2207676.2208556",
  url          = "http://graphics.cs.wisc.edu/Papers/2012/CAFG12"
}
 

Other publications in the database