Cindy Xiong Bearfield

Orcid: 0000-0002-1451-4083

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA
  • University of Massachusetts Amherst, MA, USA


According to our database1, Cindy Xiong Bearfield authored at least 31 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization.
IEEE Trans. Vis. Comput. Graph., January, 2024

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning.
IEEE Trans. Vis. Comput. Graph., January, 2024

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations.
IEEE Trans. Vis. Comput. Graph., January, 2024

Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations.
CoRR, 2024

Robust Image Watermarking using Stable Diffusion.
CoRR, 2024

The Role of Text in Visualizations: How Annotations Shape Perceptions of Bias and Influence Predictions.
CoRR, 2024

2023
Explaining With Examples: Lessons Learned From Crowdsourced Introductory Description of Information Visualizations.
IEEE Trans. Vis. Comput. Graph., March, 2023

Reasoning Affordances with Tables and Bar Charts Dataset.
Dataset, January, 2023

Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation.
IEEE Trans. Vis. Comput. Graph., 2023

How Do Viewers Synthesize Conflicting Information from Data Visualizations?
IEEE Trans. Vis. Comput. Graph., 2023

Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes.
IEEE Trans. Vis. Comput. Graph., 2023

Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design.
IEEE Trans. Vis. Comput. Graph., 2023

What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts.
CoRR, 2023

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations.
CoRR, 2023

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning.
CoRR, 2023

2022
Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways.
IEEE Trans. Vis. Comput. Graph., 2022

Designing With Pictographs: Envision Topics Without Sacrificing Understanding.
IEEE Trans. Vis. Comput. Graph., 2022

Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication.
IEEE Trans. Vis. Comput. Graph., 2022

Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations.
CoRR, 2022

VisHikers' Guide to Evaluation: Competing Considerations in Study Design.
IEEE Computer Graphics and Applications, 2022

Investigating Perceptual Biases in Icon Arrays.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

How Do We Measure Trust in Visual Data Communication?
Proceedings of the IEEE Evaluation and Beyond, 2022

2021
A Design Space of Vision Science Methods for Visualization Research.
IEEE Trans. Vis. Comput. Graph., 2021

Truth or Square: Aspect Ratio Biases Recall of Position Encodings.
IEEE Trans. Vis. Comput. Graph., 2021

Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization.
CoRR, 2021

Show or Tell? Visual and Verbal Representations Bias Position Recall.
CoRR, 2021

2020
The Curse of Knowledge in Visual Data Communication.
IEEE Trans. Vis. Comput. Graph., 2020

Illusion of Causality in Visualized Data.
IEEE Trans. Vis. Comput. Graph., 2020

Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull.
IEEE Trans. Vis. Comput. Graph., 2020

How to evaluate data visualizations across different levels of understanding.
Proceedings of the IEEE Workshop on Evaluation and Beyond, 2020

2019
Examining the Components of Trust in Map-Based Visualizations.
Proceedings of the 1st EuroVis Workshop on Trustworthy Visualization, 2019


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