Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

We introduce an algorithm for automatic selection of semantically‐resonant colors to
represent data (eg, using blue for data about “oceans”, or pink for “love”). Given a set of …

A common challenge faced by many domain experts working with time series data is how to
identify and compare similar patterns. This operation is fundamental in high-level tasks, such …

Data plots are widely used in science, journalism and politics, since they efficiently allow to
depict a large amount of information. Graphicacy, the ability to understand graphs, has thus …

We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly.
Although mobile devices have become the primary means of accessing information on the …

We present the results of two perception studies to assess how quickly people can perform a
simple data comparison task for small-scale visualizations on a smartwatch. The main goal …

We investigate priming and anchoring effects on perceptual tasks in visualization. Priming or
anchoring effects depict the phenomena that a stimulus might influence subsequent human …

Visualization researchers have been increasingly leveraging crowdsourcing approaches to
overcome a number of limitations of controlled laboratory experiments, including small …

Machine learning techniques are a driving force for research in various fields, from credit
card fraud detection to stock analysis. Recently, a growing interest in increasing human …

Line graphs are usually considered to be the best choice for visualizing time series data,
whereas sometimes also scatter plots are used for showing main trends. So far there are no …