Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Visualization recommendation systems help data analysts navigate large, complex datasets
by generating visualizations of meaningful patterns, outliers, and insights that could …

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

Mosaic is an architecture for greater scalability, extensibility, and interoperability of
interactive data views. Mosaic decouples data processing from specification logic: clients …

Graphs are common charts used to represent the topological relationship between nodes. It
is a powerful tool for data analysis and information retrieval tasks involve asking questions …

Researchers collect large amounts of user interaction data with the goal of mapping user's
workflows and behaviors to their high‐level motivations, intuitions, and goals. Although the …

Exploratory visual analysis (EVA) is an essential stage of the data science pipeline, where
users often lack clear analysis goals at the start and iteratively refine them as they learn …

Threshold queries are an important class of queries that only require computing or counting
answers up to a specified threshold value. To the best of our knowledge, threshold queries …

Understanding how visualizations can support decision-making continues to be one of the
most relevant challenges in current research. However, prior work provides limited …