Researching for GIS annotation: The design of a conversational annotation interface

Yunxing Liu, T. van Bussel, Vassilis-Javed Khan, J. Martens
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Abstract

Using maps has become a daily activity for virtually everyone. However, in terms of interactive maps are limited. Rich interaction, such as issuing a complex query: “Which route has more greenery for my evening run?” is currently impossible to process for most Geographic Information Systems (GIS). To enable such rich interaction, data in GIS needs to be extended with high-level semantic annotations. Such annotations, due to their intrinsic semantic nature, can currently only be supplied by humans, who might moreover also need to have some expert knowledge about GIS in order to produce useful annotations. Given the cognitive resources required, the number of annotations to be made, and the tediousness of the task, there is a need to design systems that can support experts in completing such annotation tasks. We report on a study comparing two alternative systems for performing GIS annotations, a Conversational User Interface (CUI), designed for the purpose of this study, and a Web interface with NN GIS, which reflects the current state-of-the-art used by experts. We find that CUIs can indeed help to improve the accuracy and efficiency of the annotations. We conclude the paper with some tentative design principles for annotation systems coupled to complex user interfaces.
GIS标注研究:会话式标注接口的设计
使用地图已经成为几乎每个人的日常活动。然而,在交互式地图方面是有限的。丰富的互动,例如发出一个复杂的查询:“哪条路线有更多的绿化适合我的晚上跑步?”是目前大多数地理信息系统(GIS)无法处理的。为了实现这种丰富的交互,GIS中的数据需要用高级语义注释进行扩展。这种注释由于其固有的语义性质,目前只能由人类提供,而且为了生成有用的注释,人类可能还需要具备一些关于GIS的专业知识。考虑到所需的认知资源、要做的注释的数量以及任务的乏味性,需要设计能够支持专家完成此类注释任务的系统。我们报告了一项比较两种用于执行GIS注释的替代系统的研究,一种是为本研究目的而设计的会话用户界面(CUI),另一种是具有NN GIS的Web界面,它反映了专家使用的当前最先进的技术。我们发现图形用户界面确实有助于提高标注的准确性和效率。最后,我们提出了一些与复杂用户界面耦合的注释系统的初步设计原则。
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