Evaluating 2D Flow Visualization Using Eye Tracking

dc.contributor.authorHo, Hsin-Yangen_US
dc.contributor.authorYeh, I-Chengen_US
dc.contributor.authorLai, Yu-Chien_US
dc.contributor.authorLin, Wen-Chiehen_US
dc.contributor.authorCherng, Fu-Yinen_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:52:22Z
dc.date.available2015-05-22T12:52:22Z
dc.date.issued2015en_US
dc.description.abstractFlow 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.en_US
dc.description.number3en_US
dc.description.sectionheadersFlow Visualizationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12662en_US
dc.identifier.pages501-510en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12662en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMethodology and Techniquesen_US
dc.subjectErgonomicsen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.titleEvaluating 2D Flow Visualization Using Eye Trackingen_US
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