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Pervasive Personalisation of Location Information: Personalised Context Ontology

机译:位置信息的普遍个性化:个性化上下文本体

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摘要

There is considerable value in personalising information about people's location. Personalised Context Ontology (PECO) is an ontology for a building, and with PECO, we can provide personalised descriptions of the relevant people. For pragmatic reasons, it is important that PECO is created semi-automatically, making flexible use of a range of sources. For reasons of user control, it is important that PECO can be used to explain the personalisation. This paper describes PECO and how it is created for reasoning about a building. We also describe its use in an application called Locator, which presents information about the people in a building. PECO enables Locator to provide personalised information in two ways: it shows people of relevance and it makes use of personalised location labels. At the same time, PECO enables the user to scrutinise the reasoning about the personalisation. We report a study with eight users in which we compare a personalised and a non-adaptive versions of Locator. This indicates that people preferred the personalised version even though they could complete the designed tasks with both systems.
机译:个性化有关人员位置的信息具有相当大的价值。个性化上下文本体(PECO)是建筑物的本体,借助PECO,我们可以提供相关人员的个性化描述。出于务实的原因,半自动创建PECO并灵活利用各种来源非常重要。出于用户控制的原因,使用PECO来解释个性化非常重要。本文介绍了PECO以及如何为建筑物推理创建PECO。我们还将在名为Locator的应用程序中描述其用法,该应用程序提供有关建筑物中人员的信息。 PECO使Locator可以通过两种方式提供个性化信息:向相关人员显示相关信息,并利用个性化位置标签。同时,PECO使用户可以审查有关个性化的理由。我们报告了一项针对8位用户的研究,其中我们比较了Locator的个性化版本和非自适应版本。这表明即使人们可以同时使用两个系统完成设计任务,人们还是更喜欢个性化版本。

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