Drawing on the methodology of perceptual psychology, we are how viewers build up big pictures from data to determine if novel encodings can outperform standard designs for the affordance of quick summarization and comparison of data sets. By letting viewers build up the big picture themselves, we can promote better patterns of decision-making, and let people reason about data even when pixels are a limited resource.
Danielle Albers, Michael Correll, Michael Gleicher. Task-Driven Evaluation of Aggregation in Time Series Visualization. Proceedings of the 2014 ACM annual conference on Human Factors in Computing Systems (CHI ’14). May 2014.
Michael Gleicher, Michael Correll, Christine Nothelfer, Steve Franconeri. Perception of Average Value in Multiclass Scatterplots. IEEE Transactions on Visualization and Computer Graphics (InfoVis ’13). 19, 12, pp. 2316-2325. Dec 2013.
Michael Correll, Danielle Albers, Steve Franconeri, Michael Gleicher. Comparing Averages in Time Series Data. Proceedings of the 2012 ACM conference on Human Factors in Computing Systems (CHI ’12). pp. 1095-1104. May 2012.
Project Site: http://graphics.cs.wisc.edu/Vis/ScatterVis13/ (Scatterplot averages)