Locatability and Locatability Robustness of Visual Variables in Single Target Localization
Wei Wei, Miguel A. Nacenta, Michelle F. Miranda, Charles Perin

TL;DR
This study empirically evaluates the effectiveness and robustness of visual variables like hue and size in locating a target object within complex displays, challenging the idea that some variables automatically 'pop out' regardless of display complexity.
Contribution
It provides the first empirical comparison of visual variables for target localization in visualization, demonstrating that none are immune to increased display complexity and layout effects.
Findings
No visual variable is immune to increased number of objects.
Different visual variables vary in robustness depending on target location.
Layout influences the effectiveness of visual variables in target localization.
Abstract
Finding a particular object in a display is important for viewers in many visualizations, for example, when reacting to brushing or to a highlighted object. This can be enabled by making the target object different in one of the visual variables that determine the object's appearance; for example, by changing its color or size. Certain interpretations of the visual search literature have promoted the view that using visual variables such as hue-often labeled as preattentive-would make the target object automatically "popout," implying that an object can be located almost instantly, regardless of the number of objects in the display. In this paper we present a study that serves as a bridge between the extensive visual search literature and visualization, establishing empirical base measurements for the localization task. By testing displays with up to hundreds of objects, we are able to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Interactive and Immersive Displays · Spatial Cognition and Navigation
