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网页的眼动追踪分析可视化工具，名为Gazealytics。这一开源工具包集成了统一的眼动分析功能，支持灵活的探索性分析，同时提供兴趣区（AOI）标注以及基于多重标准的筛选选项，用于在时间和空间维度上可视化分析眼动追踪数据。Gazealytics通过协调的多视图实现了注视点与扫描路径的时空探索，以支持各类分析任务。一种新颖的矩阵表示方法使得对空间或时间特征间关系的分析成为可能。数据可按样本、用户定义的AOI或感兴趣的时间窗口（TWI）进行分组，从而支持注视活动的聚合或过滤分析。该方法超越了现有系统的能力，支持受试者间及受试者内的灵活比较、假设生成、数据分析与洞见交流。我们通过实例演示证明，Gazealytics可支持多种类型的眼动追踪数据集及分析任务。