Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types.

Emphasis effects are visual changes that make data elements distinct from their surroundings. Designers may use computational saliency models to predict how a viewer's attention will be guided by a specific effect; however, although saliency models provide a foundational understanding of emphasis perception, they only cover specific visual effects in abstract conditions. To address these limitations, we carried out crowdsourced studies that evaluate emphasis perception in a wider range of conditions than previously studied.

Enhanced Spatial Stability with Hilbert and Moore Treemaps.

Treemaps are a well known and powerful space-filling visualisation method for displaying hierarchical data. Many alternative treemap algorithms have been proposed, often with the aim being to optimise performance across several criteria, including spatial stability to assist users in locating and monitoring items of interest. In this paper, we demonstrate that spatial stability is not fully captured by the commonly used "distance change" (DC) metric, and we introduce a new "location drift" (LD) metric to more fully capture spatial stability.

AppMonitor: a tool for recording user actions in unmodified Windows applications.

This article describes AppMonitor, a Microsoft Windows-based client-side logging tool that records user actions in unmodified Windows applications. AppMonitor allows researchers to gain insights into many facets of interface interaction such as command use frequency, behavioral patterns prior to or following command use, and methods of navigating through systems and data sets. AppMonitor uses the Windows SDK libraries to monitor both low-level interactions, such as "left mouse button pressed" and "Ctrl-F pressed," as well as high-level "logical" actions, such as menu selections and scrollbar manipulations.

Multimodal feedback for the acquisition of small targets.

This paper examines how multimodal feedback assists small-target acquisition in graphical user interfaces. All combinations of three feedback modes are analysed: non-speech audio; tactile; and pseudo-haptic "sticky" feedback. The tactile conditions used stimulation through vibration (rather than force-feedback), and the sticky conditions were implemented by dynamically reconfiguring mouse control-display gain as the cursor entered the target.