標題: Evaluating 2D Flow Visualization Using Eye Tracking
作者: Ho, Hsin-Yang
Yeh, I-Cheng
Lai, Yu-Chi
Lin, Wen-Chieh
Cherng, Fu-Yin
交大名義發表
National Chiao Tung University
公開日期: 1-Jun-2015
摘要: 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.
URI: http://dx.doi.org/10.1111/cgf.12662
http://hdl.handle.net/11536/128079
ISSN: 0167-7055
DOI: 10.1111/cgf.12662
期刊: COMPUTER GRAPHICS FORUM
Volume: 34
起始頁: 501
結束頁: 510
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