With the advance of high performance computing and modern numerical simulation technology, flow fields obtained from the simulation are becoming more and more large and complex. It is an extremely challenging problem to display a large flow field in the limited 2D space on a computer screen. In this paper, we present a system that adapts display resources to user intentions by using eye-tracking data. When observing a flow field, users usually gaze at some particular regions, such as around a critical point, the boundary of an object, and selectively follow some important structure or interesting flow pattern. Since "viewing" is the most important user task in flow observation, we assume it is possible to predict users' intentions, either conscious or unconscious ones, by analyzing eye-tracking data. The proposed system employs a set of focus+context visualization techniques to effectively visualize the regions of interest, which are automatically predicted based on eye-tracking data.
|Translated title of the contribution||Gaze-Directed Flow Visualization System|
|Number of pages||4|
|Journal||可視化情報学会誌 = Journal of the Visualization Society of Japan|
|Publication status||Published - Mar 15 2005|