Understanding how individuals focus and perform visual searches during collaborative tasks can help improve user engagement. Eye tracking measures provide informative cues for such understanding. This article presents A-DisETrac, an advanced analytic dashboard for distributed eye tracking. It uses off-the-shelf eye trackers to monitor multiple users in parallel, compute both traditional and advanced gaze measures in real-time, and display them on an interactive dashboard. Using two pilot studies, the system was evaluated in terms of user experience and utility, and compared with existing work. Moreover, the system was used to study how advanced gaze measures such as ambient-focal coefficient K and real-time index of pupillary activity relate to collaborative behavior. It was observed that the time a group takes to complete a puzzle is related to the ambient visual scanning behavior quantified and groups that spent more time had more scanning behavior. User experience questionnaire results suggest that their dashboard provides a comparatively good user experience.

中文翻译：

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用于分布式眼动追踪的 A-DisETrac 高级分析仪表板

了解个人在协作任务期间如何聚焦和执行视觉搜索有助于提高用户参与度。眼球追踪测量为这种理解提供了信息线索。本文介绍 A-DisETrac，这是一种用于分布式眼动追踪的高级分析仪表板。它使用现成的眼动仪来并行监控多个用户，实时计算传统和高级的注视测量，并将其显示在交互式仪表板上。通过两项试点研究，该系统在用户体验和实用性方面进行了评估，并与现有工作进行了比较。此外，该系统还用于研究高级注视测量（例如环境焦点系数 K 和瞳孔活动实时指数）如何与协作行为相关。据观察，一组完成拼图所需的时间与量化的环境视觉扫描行为有关，花费更多时间的组有更多的扫描行为。用户体验调查结果表明他们的仪表板提供了相对良好的用户体验。