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Automatic context detection of a mobile user

机译:自动检测移动用户的上下文

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摘要

Mobile devices have obtained a significant role in our life providing a large variety of useful functionalities and features. It is desirable to have an automated adaptation of the behavior of a mobile device depending on a change of user context to fulfill expectations towards practical usefulness. To enable mobile devices to adapt their behavior automatically there is a need to determine the mobile user's context. In this paper we introduce an integrated approach for the automatic detection of a user's context. Therefore, we summarize and discuss existing approaches and technologies and describe a service architecture that takes into account information from the interaction of the mobile device with communication networks and positioning systems, from integrated sensors, and planned behavior of the user from e.g his calendar or activity list. Additionally it considers the social network of the user to derive further information about his context and finally it takes into account his customs through a behavior model.
机译:移动设备在我们的生活中发挥了重要作用,它提供了多种有用的功能和特性。期望根据用户上下文的变化来使移动设备的行为自动适应以实现对实用性的期望。为了使移动设备能够自动适应其行为,需要确定移动用户的上下文。在本文中,我们介绍了一种用于自动检测用户上下文的集成方法。因此,我们总结并讨论了现有的方法和技术,并描述了一种服务体系结构,该体系结构考虑了来自移动设备与通信网络和定位系统的交互,来自集成传感器的信息以及来自用户的日历或活动的计​​划用户行为的信息列表。另外,它考虑用户的社交网络以获取有关其上下文的更多信息,并最终通过行为模型将其习俗考虑在内。

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