activity
20222024
most citedWhat Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts

20 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

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…

cs.HC20241 cited

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…

cs.HC202320 cited

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…

cs.HC2023

The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts

Racquel Fygenson, Steven Franconeri, Enrico Bertini

Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in value…

cs.HC20221 cited

Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation

Cindy Xiong, Chase Stokes, Yea-Seul Kim +1

When an analyst or scientist has a belief about how the world works, their thinking can be biased in favor of that belief. Therefore, one bedrock principle of science is to minimiz…