An Eye Tracking Study into the Effects of Graph Layout
Weidong Huang

TL;DR
This eye tracking study investigates how crossing angles and geometric-path tendencies in graph layouts affect reading performance, revealing that small crossing angles slow down path searches but crossings minimally impact node locating.
Contribution
It provides initial empirical insights into how crossing angles and geometric-path tendencies influence graph reading, addressing a gap in understanding graph readability with crossings.
Findings
Small crossing angles slow down path search tasks.
Crossings have little effect on node locating tasks.
Geometric-path tendency affects path-following difficulty.
Abstract
Graphs are typically visualized as node-link diagrams. Although there is a fair amount of research focusing on crossing minimization to improve readability, little attention has been paid on how to handle crossings when they are an essential part of the final visualizations. This requires us to understand how people read graphs and how crossings affect reading performance. As an initial step to this end, a preliminary eye tracking experiment was conducted. The specific purpose of this experiment was to test the effects of crossing angles and geometric-path tendency on eye movements and performance. Sixteen subjects performed both path search and node locating tasks with six drawings. The results showed that small angles can slow down and trigger extra eye movements, causing delays for path search tasks, whereas crossings have little impact on node locating tasks. Geometric-path…
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Taxonomy
TopicsData Visualization and Analytics · Spatial Cognition and Navigation · Gaze Tracking and Assistive Technology
