Examining the Components of Trust in Map-Based Visualizations. - Cindy Xiong; Lace M. K. Padilla; Kent Grayson; Steven Franconeri (TrustVis@EuroVis, 2019)

How to evaluate data visualizations across different levels of understanding. - Alyxander Burns; Cindy Xiong; Steven Franconeri; Alberto Cairo; Narges Mahyar (BELIV, 2020)

Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull. - Cindy Xiong; Cristina R. Ceja; Casimir J. H. Ludwig; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2020)

Illusion of Causality in Visualized Data. - Cindy Xiong; Joel Shapiro; Jessica Hullman; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2020)

The Curse of Knowledge in Visual Data Communication. - Cindy Xiong; Lisanne van Weelden; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2020)

Show or Tell? Visual and Verbal Representations Bias Position Recall. - Cristina R. Ceja; Cindy Xiong (CoRR, 2021)

Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization. - Alyxander Burns; Thai On; Christiana Lee; Rachel Shapiro; Cindy Xiong; Narges Mahyar (CoRR, 2021)

Truth or Square: Aspect Ratio Biases Recall of Position Encodings. - Cristina R. Ceja; Caitlyn M. McColeman; Cindy Xiong; Steven L. Franconeri (IEEE Trans. Vis. Comput. Graph., 2021)

A Design Space of Vision Science Methods for Visualization Research. - Madison A. Elliott; Christine Nothelfer; Cindy Xiong; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2021)

How Do We Measure Trust in Visual Data Communication? - Hamza Elhamdadi; Aimen Gaba; Yea-Seul Kim; Cindy Xiong (BELIV, 2022)

Investigating Perceptual Biases in Icon Arrays. - Cindy Xiong; Ali Sarvghad; Daniel G. Goldstein; Jake M. Hofman; Çagatay Demiralp (CHI, 2022)

VisHikers' Guide to Evaluation: Competing Considerations in Study Design. - Emily Wall 001; Cindy Xiong; Yea-Seul Kim (IEEE Computer Graphics and Applications, 2022)

Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations. - Hamza Elhamdadi; Lace M. K. Padilla; Cindy Xiong (CoRR, 2022)

Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication. - Kiran Ajani; Elsie Lee; Cindy Xiong; Cole Nussbaumer Knaflic; William Kemper; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2022)

Designing With Pictographs: Envision Topics Without Sacrificing Understanding. - Alyxander Burns; Cindy Xiong; Steven Franconeri; Alberto Cairo; Narges Mahyar (IEEE Trans. Vis. Comput. Graph., 2022)

Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways. - Cindy Xiong; Vidya Setlur; Benjamin Bach; Eunyee Koh; Kylie Lin; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2022)

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations. - Hamza Elhamdadi; Adam Stefkovics; Johanna Beyer; Eric Mörth; Cindy Xiong Bearfield; Carolina Nobre (CoRR, 2023)

Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design. - Aimen Gaba; Vidya Setlur; Arjun Srinivasan; Jane Hoffswell; Cindy Xiong (IEEE Trans. Vis. Comput. Graph., 2023)

Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes. - Eli Holder; Cindy Xiong (IEEE Trans. Vis. Comput. Graph., 2023)

How Do Viewers Synthesize Conflicting Information from Data Visualizations? - Prateek Mantri; Hariharan Subramonyam; Audrey L. Michal; Cindy Xiong (IEEE Trans. Vis. Comput. Graph., 2023)

Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation. - Cindy Xiong; Chase Stokes; Yea-Seul Kim; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2023)

Reasoning Affordances with Tables and Bar Charts Dataset. - Cindy Xiong (IEEE DataPort, 2023)

Explaining With Examples: Lessons Learned From Crowdsourced Introductory Description of Information Visualizations. - Leni Yang; Cindy Xiong; Jason K. Wong; Aoyu Wu; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2023)

Attack-Resilient Image Watermarking Using Stable Diffusion. - Lijun Zhang 005; Xiao Liu 030; Antoni Viros Martin; Cindy Xiong Bearfield; Yuriy Brun; Hui Guan 001 (NeurIPS, 2024)

Gridlines Mitigate Sine Illusion in Line Charts. - Clayton Knittel; Jane Awuah; Steven Franconeri; Cindy Xiong Bearfield (IEEE VIS, 2024)

Robust Image Watermarking using Stable Diffusion. - Lijun Zhang 005; Xiao Liu 030; Antoni Viros Martin; Cindy Xiong Bearfield; Yuriy Brun; Hui Guan 001 (CoRR, 2024)

Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation. - Minsuk Chang; Soohyun Lee; Aeri Cho; Hyeon Jeon; Seokhyeon Park; Cindy Xiong Bearfield; Jinwook Seo (CoRR, 2024)

Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions. - Yixuan Li; Emery D. Berger; Minsuk Kahng; Cindy Xiong Bearfield (CoRR, 2024)

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations. - Hamza Elhamdadi; Adam Stefkovics; Johanna Beyer; Eric Mörth; Hanspeter Pfister; Cindy Xiong Bearfield; Carolina Nobre (IEEE Trans. Vis. Comput. Graph., 2024)

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning. - Aimen Gaba; Zhanna Kaufman; Jason Cheung; Marie Shvakel; Kyle Wm. Hall; Yuriy Brun; Cindy Xiong Bearfield (IEEE Trans. Vis. Comput. Graph., 2024)

Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization. - Eli Holder; Cindy Xiong Bearfield (IEEE Trans. Vis. Comput. Graph., 2024)

Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations. - Cindy Xiong Bearfield; Lisanne van Weelden; Adam Waytz; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2024)

From Invisible to Visible: Impacts of Metadata in Communicative Data Visualization. - Alyxander Burns; Christiana Lee; Thai On; Cindy Xiong; Evan Peck; Narges Mahyar (IEEE Trans. Vis. Comput. Graph., 2024)

Reasoning Affordances With Tables and Bar Charts. - Cindy Xiong; Elsie Lee-Robbins; Icy Zhang; Aimen Gaba; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2024)

What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts. - Cindy Xiong Bearfield; Chase Stokes; Andrew M. Lovett; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2024)

The Role of Text in Visualizations: How Annotations Shape Perceptions of Bias and Influence Predictions. - Chase Stokes; Cindy Xiong Bearfield; Marti A. Hearst (IEEE Trans. Vis. Comput. Graph., 2024)

Leveraging Large Language Models for Personalized Public Messaging. - Amit Kumar Das 002; Cindy Xiong Bearfield; Klaus Mueller 001 (CHI Extended Abstracts, 2025)

Confirmation Bias: The Double-Edged Sword of Data Facts in Visual Data Communication. - Shiyao Li; Thomas James Davidson; Cindy Xiong Bearfield; Emily Wall 001 (CHI, 2025)

What Makes a Visualization Visually Complex? - Kylie Lin; Sean Sheng-tse Ru; David N. Rapp; Hui Guan 001; Cindy Xiong Bearfield (CHI Extended Abstracts, 2025)

Motion-Based Visual Encoding Can Improve Performance on Perceptual Tasks with Dynamic Time Series. - Songwen Hu; Ouxun Jiang; Jeffrey Riedmiller; Cindy Xiong Bearfield (IEEE Trans. Vis. Comput. Graph., 2025)

How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts. - Huichen Will Wang; Jane Hoffswell; Sao Myat Thazin Thane; Victor S. Bursztyn; Cindy Xiong Bearfield (IEEE Trans. Vis. Comput. Graph., 2025)

Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations. - Minsuk Chang; Yao Wang 018; Huichen Will Wang; Andreas Bulling; Cindy Xiong Bearfield (CoRR, 2025)

Do You "Trust" This Visualization? An Inventory to Measure Trust in Visualizations. - Huichen Will Wang; Kylie Lin; Andrew Cohen; Ryan Kennedy; Zach Zwald; Carolina Nobre; Cindy Xiong Bearfield (CoRR, 2025)

Perception-aware Sampling for Scatterplot Visualizations. - Zafeiria Moumoulidou; Hamza Elhamdadi; Ke Yang 003; Subrata Mitra; Cindy Xiong Bearfield; Alexandra Meliou (CoRR, 2025)

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models. - Aimen Gaba; Emily Wall 001; Tejas Ramkumar Babu; Yuriy Brun; Kyle Wm. Hall; Cindy Xiong Bearfield (CoRR, 2025)

Write, Rank, or Rate: Comparing Methods for Studying Visualization Affordances. - Chase Stokes; Kylie Lin; Cindy Xiong Bearfield (CoRR, 2025)

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models. - Zhanna Kaufman; Madeline Endres; Cindy Xiong Bearfield; Yuriy Brun (CoRR, 2025)

Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention. - Minsuk Chang; Yao Wang 018; Huichen Will Wang; Yuanhong Zhou; Andreas Bulling; Cindy Xiong Bearfield (CoRR, 2025)

Playing telephone with generative models: "verification disability," "compelled reliance," and accessibility in data visualization. - Frank Elavsky; Cindy Xiong Bearfield (CoRR, 2025)