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Long-life application: Situation detection in a context-aware all-in-one application

机译:寿命长的应用程序:上下文感知的多合一应用程序中的状况检测

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摘要

Nowadays, mobile devices host many applications that are directly downloaded and installed from mobile application stores. The existence of such a large amount of apps for a myriad of purposes imposes a huge overhead on users, who are in charge of selecting, installing, and executing the appropriate apps, as well as deleting them when no longer needed. Moreover, these applications have mostly neglected to take into account the user's context, as they propose static non-evolving scenarios of use. The proposed long-life application provides a new way to respond to the user's needs on the fly. It evolves at run time (by including/ excluding business functionalities, updating the interaction mode, and migrating executions) according to the user's needs. While he/she moves in his/her surroundings, the app detects the occurring events and builds contextually- described situations. So, this work aims to offer a new type of mobile application able to detect, formulate and understand the users' context and react accordingly. Therefore, in this paper, we present the overall approach to build a long-life application and we focus on context detection and formulation aspects.
机译:如今,移动设备托管着许多直接从移动应用程序商店下载和安装的应用程序。如此众多的应用程序的存在有无数种目的,这给负责选择,安装和执行适当应用程序以及在不再需要时删除它们的用户带来了巨大的开销。而且,由于这些应用程序提出了静态的非演进性使用场景,因此大多数时候都忽略了考虑用户的上下文。拟议的长寿命应用程序提供了一种新的方式来快速响应用户的需求。它在运行时根据用户的需求而发展(通过包括/不包括业务功能,更新交互模式以及迁移执行)。当他/她在周围环境中移动时,该应用会检测到发生的事件并建立上下文描述的情况。因此,这项工作旨在提供一种新型的移动应用程序,能够检测,制定和理解用户的环境并做出相应的反应。因此,在本文中,我们介绍了构建长寿命应用程序的总体方法,并且我们将重点放在上下文检测和表述方面。

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