A Gaze-enabled Graph Visualization to Improve Graph Reading Tasks

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dc.contributor.authorOkoe, Mershacken_US
dc.contributor.authorAlam, Sayeed Safayeten_US
dc.contributor.authorJianu, Raduen_US
dc.contributor.editorH. Carr, P. Rheingans, and H. Schumannen_US
dc.date.accessioned2015-03-03T12:35:28Z
dc.date.available2015-03-03T12:35:28Z
dc.date.issued2014en_US
dc.description.abstractPerforming typical network tasks such as node scanning and path tracing can be difficult in large and dense graphs. To alleviate this problem we use eye-tracking as an interactive input to detect tasks that users intend to perform and then produce unobtrusive visual changes that support these tasks. First, we introduce a novel fovea based filtering that dims out edges with endpoints far removed from a user's view focus. Second, we highlight edges that are being traced at any given moment or have been the focus of recent attention. Third, we track recently viewed nodes and increase the saliency of their neighborhoods. All visual responses are unobtrusive and easily ignored to avoid unintentional distraction and to account for the imprecise and low-resolution nature of eyetracking. We also introduce a novel gaze-correction approach that relies on knowledge about the network layout to reduce eye-tracking error. Finally, we present results from a controlled user study showing that our methods led to a statistically significant accuracy improvement in one of two network tasks and that our gaze-correction algorithm enables more accurate eye-tracking interaction.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12381en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12381en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleA Gaze-enabled Graph Visualization to Improve Graph Reading Tasksen_US
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33-Issue 3
EuroVis14: Eurographics Conference on Visualization