We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.
翻译:我们提出了一种新颖的基于 Web 的视觉眼动分析工具,名为 Gazealytics。我们的开源工具包括统一的注视分析功能,支持灵活的探索性分析,以及基于多个标准的 AOI 注释和过滤选项,用于视觉分析多维度的眼动数据。Gazealytics 的协调视图将注视点和扫描路径的时空探索统一起来,支持多种分析任务。一种新颖的矩阵表示方法可以分析这些空间或时间特征之间的关系。数据可以跨样本、用户定义的 AOI 或感兴趣的时间窗口进行分组,从而支持注视活动的聚合或过滤分析。这一方法超越了现有系统的能力,支持主体内外的灵活比较、假设生成、数据分析和洞见沟通。我们通过演示展示了 Gazealytics 支持多种类型的眼动数据集和分析任务。