A survey of perception-based visualization studies by task
Knowledge of human perception has long been incorporated into visualizations to enhance
their quality and effectiveness. The last decade, in particular, has shown an increase in …
their quality and effectiveness. The last decade, in particular, has shown an increase in …
Scatterplots: Tasks, data, and designs
Traditional scatterplots fail to scale as the complexity and amount of data increases. In
response, there exist many design options that modify or expand the traditional scatterplot …
response, there exist many design options that modify or expand the traditional scatterplot …
Towards perceptual optimization of the visual design of scatterplots
Designing a good scatterplot can be difficult for non-experts in visualization, because they
need to decide on many parameters, such as marker size and opacity, aspect ratio, color …
need to decide on many parameters, such as marker size and opacity, aspect ratio, color …
Looks good to me: Visualizations as sanity checks
Famous examples such as Anscombe's Quartet highlight that one of the core benefits of
visualizations is allowing people to discover visual patterns that might otherwise be hidden …
visualizations is allowing people to discover visual patterns that might otherwise be hidden …
KD-Box: Line-segment-based KD-tree for interactive exploration of large-scale time-series data
Time-series data-usually presented in the form of lines-plays an important role in many
domains such as finance, meteorology, health, and urban informatics. Yet, little has been …
domains such as finance, meteorology, health, and urban informatics. Yet, little has been …
Evaluation of sampling methods for scatterplots
Given a scatterplot with tens of thousands of points or even more, a natural question is which
sampling method should be used to create a small but “good” scatterplot for a better …
sampling method should be used to create a small but “good” scatterplot for a better …
Automatic scatterplot design optimization for clustering identification
Scatterplots are among the most widely used visualization techniques. Compelling
scatterplot visualizations improve understanding of data by leveraging visual perception to …
scatterplot visualizations improve understanding of data by leveraging visual perception to …
[HTML][HTML] The effects of contrast on correlation perception in scatterplots
Scatterplots are common data visualizations that can be used to communicate a range of
ideas, the most intensively studied being the correlation between two variables. Despite …
ideas, the most intensively studied being the correlation between two variables. Despite …
AVA: Towards Autonomous Visualization Agents through Visual Perception‐Driven Decision‐Making
With recent advances in multi‐modal foundation models, the previously text‐only large
language models (LLM) have evolved to incorporate visual input, opening up …
language models (LLM) have evolved to incorporate visual input, opening up …
How can deep neural networks aid visualization perception research? three studies on correlation judgments in scatterplots
How deep neural networks can aid visualization perception research is a wide-open
question. This paper provides insights from three perspectives—prediction, generalization …
question. This paper provides insights from three perspectives—prediction, generalization …