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Augmenting Traditional Performance Analyses with Eye Tracking Metrics

机译:通过眼跟踪指标增强传统性能分析

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摘要

One hundred and nineteen military aviators were tasked with developing route plans for directing multiple Unmanned Aerial Vehicles to search for targets with different values and probabilities of being found. Target icon visualizations were manipulated on the planning display's map, such that half the trials included either enhanced or simple icons. Plan quality performance was not impacted by icon type, but participants developed plans 11% faster with enhanced icons. Additionally, neither maximum pupil dilation nor mean pupil dilation, measured during planning, were statistically different between icon types, signifying similar levels of mental effort when interacting with either icon. Fixation analyses revealed that enhanced icons increased the proportion of time spent looking at the map and decreased gaze transition entropy, thus indicating more deterministic scan patterns. These findings demonstrate how augmenting performance analyses with eye tracking metrics provides a more complete understanding of how visualizations affect a user's interface experience.
机译:有一百十九军人的偏航运动员负责制定用于指导多个无人机的航线计划,以寻找具有不同价值观和被发现的概率的目标。目标图标可视化在规划显示的地图上被操纵,从而包括增强或简单图标的一半。计划质量表现不会受到图标类型的影响,但参与者以增强的图标更快地开发了11%的计划。此外,在规划期间测量的最大瞳孔扩张性也不是瞳孔扩张,在图标类型之间具有统计学不同,在与任一图标交互时,表示类似的心理努力。固定分析显示,增强的图标增加了看着地图的时间比例和降低的凝视过渡熵,从而提高了更多的确定性扫描模式。这些调查结果表明,通过眼跟踪指标的增强性能分析提供了更完全了解可视化如何影响用户的界面体验。

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