Evaluating 2D Flow Visualization Using Eye Tracking

Hsin Yang Ho, I. Cheng Yeh, Yu Chi Lai, Wen-Chieh Lin, Fu Yin Cherng

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Flow visualization is recognized as an essential tool for many scientific research fields and different visualization approaches are proposed. Several studies are also conducted to evaluate their effectiveness but these studies rarely examine the performance from the perspective of visual perception. In this paper, we aim at exploring how users' visual perception is influenced by different 2D flow visualization methods. An eye tracker is used to analyze users' visual behaviors when they perform the free viewing, advection prediction, flow feature detection, and flow feature identification tasks on the flow field images generated by different visualizations methods. We evaluate the illustration capability of five representative visualization algorithms. Our results show that the eye-tracking-based evaluation provides more insights to quantitatively analyze the effectiveness of these visualization methods.

Original languageEnglish
Pages (from-to)501-510
Number of pages10
JournalComputer Graphics Forum
Issue number3
StatePublished - 1 Jun 2015


  • I.3.6 [Computer Graphics]: Methodology and Techniques - Ergonomics
  • I.3.8 [Computer Graphics]: Applications -


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