首页> 外文会议>2003 International Symposium on Collaborative Technologies and Systems (CTS-2003); Jan 19-23, 2003; Orlando, Florida, USA >Context Information vs. Sensor Information: A Model for Categorizing Context in Context-Aware Mobile Computing
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Context Information vs. Sensor Information: A Model for Categorizing Context in Context-Aware Mobile Computing

机译:上下文信息与传感器信息:在感知上下文的移动计算中对上下文进行分类的模型

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Context-aware computing proposes technology that adapts according to the user's situation and environment. Within mobile collaborative work the situation is viewed as an important factor, here context-awareness attempts to facilitate coordination in several ways. Although much research has been conducted, context-awareness is still defined very differently. Besides differing in definitions of context, most research fails to separate between complex context information and precise sensor information. Knowing that collaborative work can benefit from some degrees of context-awareness and that context-awareness is essential to a ubiquitous computing environment, this paper focuses on initial design of context-aware applications. After reviewing past categorization models of context, The Context Information Model is proposed. Categorizing from the user's view point, the model separates strictly between context information and sensor information. It is then exemplified how the model can be applied to an actual consumer device. The paper concludes that if context-aware computing applications are to be developed for real collaborative and consumer settings, sensor measures should be gradually incorporated to comprise a simplistic categorization of context rather than define context in detail.
机译:上下文感知计算提出了一种可以根据用户的情况和环境进行调整的技术。在移动协作工作中,情况被视为重要因素,这里的上下文感知尝试以多种方式促进协调。尽管已经进行了大量研究,但是上下文意识的定义仍然非常不同。除了上下文的定义不同之外,大多数研究都无法将复杂的上下文信息和精确的传感器信息区分开。知道协作工作可以从某种程度上的上下文感知中受益,并且上下文感知对于普适计算环境必不可少,因此本文着重于上下文感知应用程序的初始设计。在回顾了过去的上下文分类模型之后,提出了上下文信息模型。从用户的角度进行分类,该模型严格区分上下文信息和传感器信息。然后举例说明如何将模型应用于实际的消费类设备。本文的结论是,如果要为真正的协作和消费者设置开发上下文感知的计算应用程序,则应该逐步采用传感器措施,以包括上下文的简单分类,而不是详细定义上下文。

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