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Utility and usability of intrinsic tag maps
Cartography and Geographic Information Science ( IF 2.354 ) Pub Date : 2020-03-16 , DOI: 10.1080/15230406.2020.1732835
Nai Yang 1 , Alan M. MacEachren 2, 3 , Emily Domanico 2
Affiliation  

ABSTRACT

Intrinsic tag maps fit a tag cloud inside a geographic boundary to emphasize the association of the tags with a particular administrative region. So far, little is known about their utility and usability. Here, we present the results of an empirical study to help fill this gap. The study uses information retrieval tasks to evaluate intrinsic tag map utility and uses user confidence and preference judgments as a metric of usability. Key independent variables in the empirical study include tag orientation and shape of geographic territory tags are positioned within. The user responses show that the intrinsic tag maps have good performance in some gisting tasks and can be used with great confidence. However, the performance degrades when the intrinsic tag maps are used to search for specific tags. The user responses also show that the readability and layout of the intrinsic tag maps needs improvement. Additionally, results show that geographic territory shape has a significant effect on the information retrieval and both geographic territory shape and tag orientation have a significant effect on the confidence, readability, and preference of the intrinsic tag map. Overall, our research results can be used to improve tag map designs to achieve better utility and usability and as the starting point for subsequent tag map research.



中文翻译:

内部标签图的实用性和可用性

摘要

内部标签图在地理边界内适合标签云,以强调标签与特定管理区域的关联。到目前为止,对其实用性和可用性知之甚少。在这里,我们介绍了一项实证研究的结果,以帮助填补这一空白。该研究使用信息检索任务来评估固有标签映射实用程序,并将用户的置信度和偏好判断用作可用性的度量。经验研究中的关键独立变量包括标签的方向和所放置的地理标签的形状。用户响应表明,固有标签映射在某些重要任务中具有良好的性能,并且可以放心使用。但是,当内部标签映射用于搜索特定标签时,性能会下降。用户的响应还表明,固有标记图的可读性和布局需要改进。此外,结果表明,地理区域形状对信息检索有重要影响,地理区域形状和标签方向对内在标签地图的置信度,可读性和偏好性都有显着影响。总体而言,我们的研究结果可用于改进标签图设计,以实现更好的实用性和可用性,并作为后续标签图研究的起点。固有标签图的首选项。总体而言,我们的研究结果可用于改进标签图设计,以实现更好的实用性和可用性,并作为后续标签图研究的起点。固有标签图的首选项。总体而言,我们的研究结果可用于改进标签图设计,以实现更好的实用性和可用性,并作为后续标签图研究的起点。

更新日期:2020-03-16
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