Likert scales are often used in visualization evaluations to produce quantitative estimates of
subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to …

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 …

Organizations rely on data analysts to model customer engagement, streamline operations,
improve production, inform business decisions, and combat fraud. Though numerous …

We take a new, scenario-based look at evaluation in information visualization. Our seven
scenarios, evaluating visual data analysis and reasoning, evaluating user performance …

Collaborative visual analytics leverages social interaction to support data exploration and
sensemaking. These processes are typically imagined as formalised, extended activities …

Collaboration is one of the important 21st-century skills. It can take place in remote or co-
located settings. Co-located collaboration (CC) is a very complex process that involves …

Co-located collaboration can be extremely valuable during complex visual analytics tasks.
We present an exploratory study of a system designed to support collaborative visual …

We provide two contributions, a taxonomy of visual cluster separation factors in scatterplots,
and an in‐depth qualitative evaluation of two recently proposed and validated separation …

Analyzing usability test videos is arduous. Although recent research showed the promise of
AI in assisting with such tasks, it remains largely unknown how AI should be designed to …

Interactive wall-sized displays benefit data visualization. Due to their sheer display size, they
make it possible to show large amounts of data in multiple coordinated views (MCV) and …