Human Perception/Vision
Use visualizations as a medium to study perception
Visualizing Temperature Trends: Higher Sensitivity to Trend Direction With Single-Hue Palettes (2021)
Designing for Depth Perceptions in Augmented Reality (2017)
Measuring Categorical Perception in Color-Coded Scatterplots (2023)
Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways (2022)
- Cindy Xiong, Vidya Setlur, Benjamin Bach, Kylie Lin, Eunyee Koh, and Steven Franconeri
What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts (2023)
Where’s My Data? Evaluating Visualizations with Missing Data (2019)
Measuring and Modeling the Feature Detection Threshold Functions of Colormaps (2019)
Looks Good To Me: Visualizations As Sanity Checks
Lightness Constancy in Surface Visualization (2016)
A Design Space of Vision Science Methods for Visualization Research (2021)
- Madison A. Elliott, Christine Nothelfer, Cindy Xiong, Danielle Albers Szafir
A Survey of Perception-Based Visualization Studies by Task (2022)
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity (2018)
## Bar graphs depicting averages are perceptually misinterpreted: The within-the-bar bias
Correlation Judgment and Visualization Features: A Comparative Study (2019)s
Measuring the Separability of Shape, Size, and Color in Scatterplots (2019)
Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations (2018)
Evaluating Gradient Perception in Color-Coded Scalar Fields (2019)
Evaluating Perceptual Bias During Geometric Scaling of Scatterplots (2019)
Evaluating Interactive Graphical Encodings for Data Visualization (2018)
Face to Face: Evaluating Visual Comparison (2019)
Graphical Perception for Immersive Analytics (2020)
Histogram binning revisited with a focus on human perception (2021)
Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen (2021)
No Mark is an Island: Precision and Category Repulsion Biases in Data Reproductions (2021)
Open vs. Closed Shapes: New Perceptual Categories? (2018)
Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots (2019)
Perceptual Biases in Font Size as a Data Encoding (2018)
Priming and Anchoring Effects in Visualization (2018)
Rainbow Colormaps Are Not All Bad (2023)
Rainbow Dash: Intuitiveness, Interpretability and Memorability of the Rainbow Color Scheme in Visualization (2022)
Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference (2021)
Rethinking the Ranks of Visual Channels (2022)
Revealing Perceptual Proxies with Adversarial Examples (2021)
Studying Early Decision Making with Progressive Bar Charts (2023)
Modeling Color Difference for Visualization Design (2018)
Task-Based Effectiveness of Basic Visualizations (2019)
## The Perceptual Proxies of Visual Comparison (2020)
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots (2022)
Truth or Square: Aspect Ratio Biases Recall of Position Encodings (2021)
VisQuiz: Exploring Feedback Mechanisms to Improve Graphical Perception (2022)
Human Reasoning
The Attraction Effect in Information Visualization (2017)
Semantic Discriminability for Visual Communication (2021)
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation (2023)
Unifying Effects of Direct and Relational Associations for Visual Communication (2023)
Scalability of Network Visualisation from a Cognitive Load Perspective (2021)
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines (2022)
Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems (2021)
More of what? Dissociating effects of conceptual and numeric mappings on interpreting colormap data visualizations (2023)
Modeling Just Noticeable Differences in Charts (2022)
Mitigating the Attraction Effect with Visualizations (2019)
Measures of the Benefit of Direct Encoding of Data Deltas for Data Pair Relation Perception (2020)
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases (2022)
A Task-Based Taxonomy of Cognitive Biases for Information Visualization (2020)
A Bayesian Cognition Approach for Belief Updating of Correlation Judgement through Uncertainty Visualizations (2021)
- Alireza Karduni, Douglas Markant, Ryan Wesslen, Wenwen Dou
Bayesian-Assisted Inference from Visualized Data (2021)
Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs (2022)
Designing With Pictographs: Envision Topics Without Sacrificing Understanding (2022)
Estimating Color-Concept Associations from Image Statistics (2020)
Illusion of Causality in Visualized Data (2020)
Impact of Cognitive Biases on Progressive Visualization(2022)
Mapping Color to Meaning in Colormap Data Visualizations (2019)
The Curse of Knowledge in Visual Data Communication (2020)
Aesthetics
BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations (2023)
Color Crafting: Automating the Construction of Designer Quality Color Ramps (2020)
Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication (2022)
Human Emotion/Affect
Affective Congruence in Visualization Design: Influences on Reading Categorical Maps (2022)
Applications (to Vis from Psych)
interesting papers that uses findings from psych and without quantitative psychological experiments