5 citations · 12 across the 7 of their papers we have counts for
10 papers
Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations
Hamza Elhamdadi, Lace Padilla, Cindy Xiong
Establishing trust with readers is an important first step in visual data communication. But what makes a visualization trustworthy? Psychology and behavioral economics research ha…
How Do We Measure Trust in Visual Data Communication?
Hamza Elhamdadi, Aimen Gaba, Yea-Seul Kim +1
Trust is fundamental to effective visual data communication between the visualization designer and the reader. Although personal experience and preference influence readers' trust…
Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes
Eli Holder, Cindy Xiong
Visualization research often focuses on perceptual accuracy or helping readers interpret key messages. However, we know very little about how chart designs might influence readers'…
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization
Alyxander Burns, Thai On, Christiana Lee +3
Accompanying a data visualization with metadata may benefit readers by facilitating content understanding, strengthening trust, and providing accountability. However, providing thi…
Show or Tell? Visual and Verbal Representations Bias Position Recall
Cristina R. Ceja, Cindy Xiong
When we view visualizations, we not only have a visual representation of the data, but also a verbal one. Recent work has shown that these visual representations of data can be bia…
Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways
Cindy Xiong, Vidya Setlur, Benjamin Bach +3
Well-designed data visualizations can lead to more powerful and intuitive processing by a viewer. To help a viewer intuitively compare values to quickly generate key takeaways, vis…