Kasprowski Pawel, Katarzyna Harezlak
Silesian University of Technology, Poland.
J Eye Mov Res. 2017 Oct 16;10(5). doi: 10.16910/jemr.10.5.3.
Eye tracking has become a valuable way for extending knowledge of human behavior based on visual patterns. One of the most important elements of such an analysis is the presentation of obtained results, which proves to be a challenging task. Traditional visualization techniques such as scan-paths or heat maps may reveal interesting information, nonetheless many useful features are still not visible, especially when temporal characteristics of eye movement is taken into account. This paper introduces a technique called gaze self-similarity plot (GSSP) that may be applied to visualize both spatial and temporal eye movement features on the single two-dimensional plot. The technique is an extension of the idea of recurrence plots, commonly used in time series analysis. The paper presents the basic concepts of the proposed approach (two types of GSSP) complemented with some examples of what kind of information may be disclosed and finally showing areas of the GSSP possible applications.
眼动追踪已成为基于视觉模式扩展人类行为知识的一种有价值的方式。这种分析最重要的要素之一是所获结果的呈现，这被证明是一项具有挑战性的任务。传统的可视化技术，如扫描路径或热图，可能会揭示有趣的信息，然而许多有用的特征仍然不可见，尤其是在考虑眼动的时间特征时。本文介绍了一种称为注视自相似性图（GSSP）的技术，该技术可用于在单个二维图上可视化空间和时间眼动特征。该技术是时间序列分析中常用的递归图概念的扩展。本文介绍了所提方法的基本概念（两种类型的GSSP），并辅以一些可能揭示的信息示例，最后展示了GSSP可能的应用领域。
