There are many interface schemes that allow users to work at, and move between, focused
and contextual views of a dataset. We review and categorize these schemes according to …

Understanding perception is critical to effective visualization design. With its low cost and
scalability, crowdsourcing presents an attractive option for evaluating the large design space …

Very-high-resolution wall-sized displays offer new opportunities for interacting with large
data sets. While pointing on this type of display has been studied extensively, higher-level …

Experimental preregistration is required for publication in many scientific disciplines and
venues. When experimental intentions are preregistered, reviewers and readers can be …

Reproducibility should be a cornerstone of scientific research and is a growing concern
among the scientific community and the public. Understanding how to design services and …

Creating multiple prototypes facilitates comparative reasoning, grounds team discussion,
and enables situated exploration. However, current interface design tools focus on creating …

Drawing reliable inferences from data involves many, sometimes arbitrary, decisions across
phases of data collection, wrangling, and modeling. As different choices can lead to …

Though statistical analyses are centered on research questions and hypotheses, current
statistical analysis tools are not. Users must first translate their hypotheses into specific …

Many interactive tasks in graphical user interfaces involve finding an item in a list but with
the item not currently in sight. The two main ways of bringing the item into view are scrolling …

Proper statistical modeling incorporates domain theory about how concepts relate and
details of how data were measured. However, data analysts currently lack tool support for …