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Cindy Xiong Bearfield

Assistant Professor

University of Massachusetts Amherst

United States

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Dr. Cindy Xiong Bearfield is an Assistant Professor at the University of Massachusetts Amherst, USA. Her research focuses on the intersection of network science and vision science, particularly in how visualizations influence perception and decision-making. Recent articles explore topics such as the impact of visual design on trust in machine learning and the role of textual annotations in shaping biases within visualizations.

Articles (16)

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2025

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2022

Collaborators (6)

Steven Franconeri

Northwestern University

UNITED STATES

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Paul Rosen

University of Utah

UNITED STATES

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Carolina Nobre

Assistant Professor

University of Toronto

UNITED STATES

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Leni Yang

Inria, the French national research institute for the digital sciences

FRANCE

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Yea-Seul Kim

University of Wisconsin-Madison

UNITED STATES

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Sandra Bae

Assistant Professor

University of Arizona

UNITED STATES

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Cindy Xiong Bearfield

Research Interests

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About

Articles (16)

Bridging Network Science and Vision Science: Mapping Perceptual Mechanisms to Network Visualization Tasks

The Role of Text in Visualizations: How Annotations Shape Perceptions of Bias and Influence Predictions

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

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

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

Explaining With Examples: Lessons Learned From Crowdsourced Introductory Description of Information Visualizations

Reasoning Affordances with Tables and Bar Charts

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations

Designing With Pictographs: Envision Topics Without Sacrificing Understanding

Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication

VisHikers’ Guide to Evaluation: Competing Considerations in Study Design

Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design

Dispersion Vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes

From Invisible to Visible: Impacts of Metadata in Communicative Data Visualization

How Do Viewers Synthesize Conflicting Information from Data Visualizations?

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

Collaborators (6)

Steven Franconeri

Paul Rosen

Carolina Nobre

Leni Yang

Yea-Seul Kim

Sandra Bae

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