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.

翻译：理解个体在协作任务中的注意力集中与视觉搜索方式，有助于提升用户参与度。眼动追踪测量为这种理解提供了信息线索。本文介绍A-DisETrac系统——一种面向分布式眼动追踪的高级分析仪表板。该系统利用商用眼动追踪器并行监测多个用户，实时计算传统与高级注视指标，并在交互式仪表板上加以展示。通过两项试点研究，我们从用户体验和实用性角度对系统进行了评估，并与现有工作进行了比较。此外，利用该系统探究了高级注视指标（如环境-焦点系数K和瞳孔活动实时指数）与协作行为之间的关系。观察到，团队完成拼图任务的时间与量化后的环境视觉扫描行为相关，耗时更长的团队表现出更多的扫描行为。用户体验问卷结果表明，该仪表板提供了相对良好的用户体验。