20 citations · 21 across the 4 of their papers we have counts for
4 papers · 1 filter
Data-Induced Groupings and How To Find Them
Yilan Jiang, Cindy Xiong Bearfield, Steven Franconeri +1
Making sense of a visualization requires the reader to consider both the visualization design and the underlying data values. Existing work in the visualization community has large…
Gridlines Mitigate Sine Illusion in Line Charts
Clayton Knittel, Jane Awuah, Steven Franconeri +1
Sine illusion happens when the more quickly changing pairs of lines lead to bigger underestimates of the delta between them. We evaluate three visual manipulations on mitigating si…
Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations
Cindy Xiong Bearfield, Lisanne van Weelden, Adam Waytz +1
People routinely rely on data to make decisions, but the process can be riddled with biases. We show that patterns in data might be noticed first or more strongly, depending on how…
What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts
Cindy Xiong Bearfield, Chase Stokes, Andrew Lovett +1
Reading a visualization is like reading a paragraph. Each sentence is a comparison: the mean of these is higher than those; this difference is smaller than that. What determines wh…