A demonstration of a natural-language pedestrian routing system
A demonstration of a natural-language pedestrian routing system
复制标题
自然语言行人路线系统的演示
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Jürgen Königsmann
中科院分区：
文献类型：
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作者：
Johan Boye;Morgan Fredriksson;Jana Götze;Jürgen Königsmann
这个演示突出了行人路线对话系统（Boye et al. 2012）的一些特征，该系统使用自然语言路线指令来帮助行人实时导航和探索城市。在用户移动时给出指令：当用户到达规划路线中的节点pi时，告知他如何到达下一个节点pi+1。如果用户不确定下一步该做什么，他可以要求（更多）指示，并回答系统的问题（通过“是”或“否”）。该系统通过用户智能手机中继的GPS来跟踪用户的位置。显然，随着越来越多的人拥有配备GPS接收器的智能手机，开发和研究这样的应用程序变得越来越有趣。为了使系统在城市之间可扩展和可转移，该系统只使用开放的，来自OpenStreetMap的众包地理数据（Haklay 2008）。诚然，与政府测量机构发布的数据相比，这些数据更容易出错，组织也不一致，但另一方面，国家测量数据往往价格昂贵，难以获取，而且各国的格式各不相同。此外，从研究的角度来看，将该系统移植到不同城市的可能性也很重要。不同的城市有不同的特征（狭窄的街道或宽阔的林荫大道，网格状的结构或中世纪的城市规划等），这些特征将影响不同的系统策略产生路线指示的成功。路由系统的一个关键问题是生成对城市中对象的自然语言引用。这些引用一方面构成了领域的代数和几何模型之间的联系，另一方面构成了与用户之间的沟通。我们的系统采用的策略是尽可能地使用地标来描述路线，通过地标我们可以了解城市环境中的独特物体。除非有，否则避免使用说明中的街道名称
This demonstration highlights some features of a dialogue system for pedestrian routing (Boye et al. 2012) that uses natural-language routing instructions to help pedestrians navigate and explore the city in real-time. The instructions are given as the user is moving: When the user reaches a node pi in the planned route, he is informed how to reach the next node pi+1. The user can ask for (more) instructions if he is unsure where to go next, and reply to the system’s questions (by “yes” or “no”). The system keeps track of the user’s position by GPS relayed from the user’s smartphone. Obviously, it is increasingly interesting to create and study such applications as more and more people have smartphones equipped with a GPS receiver. In order to make the system scalable and transferrable across cities, the system uses only open, crowd-sourced geographical data from OpenStreetMap (Haklay 2008). Such data is admittedly more error-prone and not as consistently organised compared to data released from a governmental surveying organization, but on the other hand, national surveying data tends to be expensive, hard to access, and vary in format from nation to nation. Moreover, the possibility to port the system to different cities is important from a research point of view. Different cities have different characteristics (narrow streets or big boulevards, a grid-like structure or a medieval city plan, etc), and these features will influence the success of different system strategies for producing route instructions. A key problem for routing systems is the generation of natural language references to objects in the city. Such references form the link between the algebraic and geometric model of the domain on the one hand, and the communication with the user on the other. The strategy employed by our system is to, as far as possible, describe the route using landmarks, by which we understand distinctive objects in the city environment. Street names in instructions are avoided unless there