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首页> 外文期刊>Geoinformatica: An international journal of advances of computer science for geographic >FeaturEyeTrack: automatic matching of eye tracking data with map features on interactive maps
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FeaturEyeTrack: automatic matching of eye tracking data with map features on interactive maps

机译：FeatureyEtrack：带有地图功能的眼跟踪数据自动匹配交互式地图

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摘要

Map reading is a visual task that can strongly vary between individuals and maps of different characteristics. Aspects such as where, when, how long, and in which sequence information on a map is looked at can reveal valuable insights for both the map design process and to better understand cognitive processes of the map user. Contrary to static maps, for which many eye tracking studies are reported in the literature, established methods for tracking and analyzing visual attention on interactive maps are yet missing. In this paper, we present a framework called FeaturEyeTrack that allows to automatically log the cartographic features that have been inspected as well as the mouse input during the interaction with digital interactive maps. In particular, the novelty of FeaturEyeTrack lies in matching of gaze with the vector model of the current map visualization, therefore enabling a very detailed analysis without the requirement for manual annotation. Furthermore, we demonstrate the benefits of this approach in terms of manual work, level of detail and validity compared to state-of-the-art methods through a case study on an interactive cartographic web map.
机译：地图阅读是一种可视化任务，可以在不同特征的个人和地图之间强烈变化。诸如地图上的序列信息的位置，何时，何时，何时何地看，可以揭示对地图设计过程的宝贵见解，并更好地理解地图用户的认知过程。与静态地图相反，在文献中报告了许多眼睛跟踪研究，尚未缺少对互动地图的跟踪和分析视觉注意的建立方法。在本文中，我们介绍了一个名为FeatureyEtrack的框架，允许自动记录已被检查的制图功能以及与数字交互贴图的交互期间的鼠标输入。特别是，特定灰泥的新颖性在于凝视与当前地图可视化的矢量模型的匹配，因此在没有手动注释的要求下实现了非常详细的分析。此外，我们通过在互动制图Web地图上通过案例研究，在手动工作，细节和有效程度方面展示了这种方法的益处，通过互动制图Web地图的案例研究。

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