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 areas of interest (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：我们提出了一款名为Gazealytics的新型基于网络的可视化眼动追踪分析工具。该开源工具包具备统一组合的目光分析功能，支持灵活的探索性分析，同时包含兴趣区域（AOI）标注及基于多重条件的筛选选项，可对跨时空的眼动追踪数据进行可视化分析。Gazealytics通过协调视图统一实现注视点与扫描路径的时空探索，以支持多种分析任务。其新颖的矩阵表示形式能够分析空间或时间特征之间的关联。数据可按样本、用户自定义兴趣区域（AOI）或兴趣时间窗口（TWI）进行分组，支持对目光活动的聚合或过滤分析。该方法通过支持受试者间/内灵活比较、假设生成、数据分析及洞察传达，超越了现有系统的能力。我们通过实例演示表明，Gazealytics可处理多种类型的眼动追踪数据集与分析任务。