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:我们提出了一种新的基于网络的视觉跟踪分析工具 Gazealytics。我们的开源工具包拥有统一的眼球分析特性,支持灵活的探索性分析,以及注释感兴趣区域(AOI)和基于多个标准的筛选选项,以在时间和空间上对视线跟踪数据进行视觉分析。Gazealytics 功能包括协调视图,统一了对各种分析任务的凝视和扫描路径的时空探索。新颖的矩阵表示允许分析空间或时间特征之间的关系。数据可以根据样本、用户定义的感兴趣区域(AOIs)或感兴趣时间窗口(TWIs)进行分组,支持对凝视活动进行聚合或过滤的分析。这种方法超越了现有系统的能力,支持主题生成、数据分析和见解的传播。通过演示 Gazealytics 可以支持多种类型的眼动数据集和分析任务。