Locatability and Locatability Robustness of Visual Variables in Single Target Localization

Area of Science:

• Information Visualization
• Human-Computer Interaction
• Cognitive Psychology

Background:

• Effective object identification is vital in data visualization for tasks like interactive exploration.
• The concept of "preattentive" visual variables, such as hue, suggests targets "popout" instantly, regardless of display density.
• Existing visual search literature offers limited empirical data applicable to dense visualization contexts.

Purpose of the Study:

• To bridge the gap between visual search literature and information visualization by providing empirical data for object localization.
• To investigate how common visual variables (e.g., color, size) perform in object localization tasks with increasing numbers of distractors.
• To compare the robustness of different visual variables concerning target location and display layout.

Main Methods:

• Conducted empirical studies measuring localization performance across various visual variables.
• Tested object localization in displays containing up to hundreds of objects.
• Analyzed the impact of target position and overall visual arrangement on localization accuracy and speed.

Main Results:

• No visual variable consistently enables instant target identification as the number of objects increases.
• Performance degrades with larger display sizes for all tested visual variables.
• Different visual variables exhibit varying degrees of robustness based on target location and display layout.

Conclusions:

• The assumption of automatic "popout" for preattentive variables is not universally applicable in dense visualization settings.
• Empirical data is crucial for selecting appropriate visual variables to optimize object localization in information visualization.
• Understanding the interplay between visual variables, target properties, and display layout is key for designing effective visualizations.