提高上下文感知应用程序的质量:面向活动的上下文方法

Xuansong Li, Xianping Tao, Jian Lu
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引用次数: 8

摘要

上下文感知是普适计算的主要研究领域之一。背景在这样的系统中扮演着重要的角色。在大多数现有工作中,研究人员将上下文视为应用程序环境中的所有元素,并将其作为被动数据使用。这种类型的上下文不利于上下文感知应用程序的质量。在应用程序的开发过程中,开发人员很难准确、完整地分析、指定和组织环境中的所有内容。这种应用程序在将来环境需求发生变化时,很难进行扩展或修改。在运行时,这些应用程序必须处理所有环境事件,即使它们与应该服务的当前用户活动无关。在本文中,我们提出了一种面向活动的上下文(AOC)方法,以提高上下文感知应用程序的质量。给出了AOC概念模型和具有主动面向活动的上下文实体的上下文感知软件模型。我们实现了一个平台,通过面向活动的上下文(PAOC)来支持上下文感知。我们还提出了一个案例研究和评估,以证明我们的方法的可用性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Quality of Context-Aware Applications: An Activity-Oriented Context Approach
Context-awareness is one of the major research areas of pervasive computing. Context plays an important role in such systems. In most existing work, researchers view context as all elements in the environment of an application and use it just as passive data. This kind of context is unfavorable to the quality of context-aware applications. During the development of applications, it is difficult for developers to analyze, specify and organize everything in the environment accurately and completely. This kind of application is hard to be extended or modified when the requirements on environment change in the future. In the runtime, these applications have to deal with all the environment events even though they have nothing to do with the current user activity which should be served. In this paper, we propose an activity-oriented context (AOC) approach in order to improve the quality of context-aware applications. We give the AOC concept model and a context-aware software model with proactive activity-oriented context entity. We implement a platform to support context-awareness with activity-oriented context (PAOC). We also present a case study and an evaluation to demonstrate the usability and performance of our approach.
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