Cindy Xiong Bearfield
Orcid: 0000-0002-1451-4083Affiliations:
- Georgia Institute of Technology, Atlanta, GA, USA
- University of Massachusetts Amherst, MA, USA
According to our database1,
Cindy Xiong Bearfield
authored at least 38 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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Bibliography
2024
The Role of Text in Visualizations: How Annotations Shape Perceptions of Bias and Influence Predictions.
IEEE Trans. Vis. Comput. Graph., October, 2024
What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts.
IEEE Trans. Vis. Comput. Graph., August, 2024
IEEE Trans. Vis. Comput. Graph., July, 2024
IEEE Trans. Vis. Comput. Graph., July, 2024
Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations.
IEEE Trans. Vis. Comput. Graph., June, 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
Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions.
CoRR, 2024
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts.
CoRR, 2024
Motion-based visual encoding can improve performance on perceptual tasks with dynamic time series.
CoRR, 2024
2023
Explaining With Examples: Lessons Learned From Crowdsourced Introductory Description of Information Visualizations.
IEEE Trans. Vis. Comput. Graph., March, 2023
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation.
IEEE Trans. Vis. Comput. Graph., 2023
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
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
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication.
IEEE Trans. Vis. Comput. Graph., 2022
CoRR, 2022
IEEE Computer Graphics and Applications, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the IEEE Evaluation and Beyond, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
IEEE Trans. Vis. Comput. Graph., 2021
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization.
CoRR, 2021
2020
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
Proceedings of the IEEE Workshop on Evaluation and Beyond, 2020
2019
Proceedings of the 1st EuroVis Workshop on Trustworthy Visualization, 2019