Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

The conflux of two growing areas of technology–collaboration and visualization–into a new
research direction, collaborative visualization, provides new research challenges …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

We present Marvis, a conceptual framework that combines mobile devices and head-
mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and …

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

The increasing scale and availability of digital data provides an extraordinary resource for
informing public policy, scientific discovery, business strategy, and even our personal lives …

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

We present a nested model for the visualization design and validation with four layers:
characterize the task and data in the vocabulary of the problem domain, abstract into …

The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …

Information visualization research is becoming more established, and as a result, it is
becoming increasingly important that research in this field is validated. With the general …