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Measuring Cognitive Load for Map Tasks Through Pupil Diameter

机译:通过瞳孔直径测量地图任务的认知负荷

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In this paper we use pupil diameter as an indicator for measuring cognitive load for six different tasks on common web maps. Two eye tracking data sets were collected for different basemaps (37 participants and 1,328 trials in total). We found significant differences in mean pupil diameter between tasks, indicating low cognitive load for free exploration, medium cognitive load for search, polygon comparison, line following, and high cognitive load for route planning and focused search. Pupil diameter also changed over time within trials which can be interpreted as an increase in cognitive load for search and focused search, and a decrease for line following. Such results can be used for the adaptation of maps and geovisualizations based on their users' cognitive load.
机译:在本文中,我们将瞳孔直径用作衡量普通网络地图上六个不同任务的认知负荷的指标。收集了两个针对不同底图的眼动追踪数据集(共37名参与者和1,328次试验)。我们发现任务之间的平均瞳孔直径存在显着差异,表明自由探索的认知负荷低,搜索的中等认知负荷,多边形比较,直线跟随以及路线规划和集中搜索的高认知负荷。在试验中,瞳孔直径也随时间而变化,这可以解释为搜索和集中搜索的认知负荷增加,而追随线的减少。这样的结果可用于根据用户的认知负荷来调整地图和地理可视化。

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