With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

The goal of a visualization system is to facilitate dataset-driven insight discovery. But what if
the insights are spurious? Features or patterns in visualizations can be perceived as …

The stated goal for visual data exploration is to operate at a rate that matches the pace of
human data analysts, but the ever increasing amount of data has led to a fundamental …

We present results from an experiment aimed at using logs of interactions with a visual
analytics application to better understand how interactions lead to insight generation. We …

Insights are often considered the ideal outcome of visual analysis sessions. However, there
is no single definition of what an insight is. Some scholars define insights as correlations …

Researchers have derived many theoretical models for specifying users' insights as they
interact with a visualization system. These representations are essential for understanding …

Players increasingly adopt a data-driven approach to review and improve their gaming
skills. In the wake of this, spatio-temporal visualizations gained popularity but remain …

Visual analytics has been widely studied in the past decade. One key to make visual
analytics practical for both research and industrial applications is the appropriate definition …

Understanding the quality of insight has become increasingly important with the trend of
allowing users to post comments during visual exploration, yet approaches for qualifying …

The trend of exploratory visualization development has driven the visual analytics (VA)
community to design special evaluation methods. The main goals of these evaluations are to …