Context Models and Context Awareness

Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises Pub Date : 1900-01-01 DOI:10.4018/978-1-59904-832-1.CH011

M. Hartmann, Gerhard Austaller

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引用次数: 14

Abstract

Humans use all kinds of information characterizing their current situation, like time, location and identity of persons nearby, to adapt their behavior to the situation and to make decisions. For example, when we speak to a person, we adapt what we say and how we say it to the social rank of the person (e.g., most people would not say “that’s nonsense” to their boss, but would to a friend). All this information is not easily captured, represented and processed by a computer. However, this information can help to build more user-friendly applications that adapt and respond to the user’s current situation. If the computer were aware of the user’s context and its interpretation, it would be able to make decisions on behalf of the user, anticipating user needs like another human would. For example, it would be possible to provide the user only with information relevant to the current situation and thus reduce the cognitive load. This is especially necessary in the area of ubiquitous computing (UC), where the user has to deal with a multitude of different computers, and thus with a multitude of possible distractions. To enable all these devices disappear into background, they have to anticipate the user’s future demands and adapt to the user’s context to reduce the amount of interaction needed. abstract

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上下文模型和上下文感知

人类利用各种表征其当前情况的信息，如时间、地点和附近人员的身份，使自己的行为适应这种情况并做出决定。例如，当我们和一个人说话时，我们会根据这个人的社会地位来调整我们说的话和说话的方式(例如，大多数人不会对他们的老板说“那是胡说八道”，但会对朋友说)。所有这些信息都不容易被计算机捕获、表示和处理。但是，这些信息可以帮助构建更加用户友好的应用程序，以适应和响应用户的当前情况。如果计算机知道用户的上下文及其解释，它将能够代表用户做出决定，像另一个人一样预测用户的需求。例如，可以只向用户提供与当前情况有关的信息，从而减少认知负荷。这在无处不在的计算(UC)领域尤其必要，因为用户必须处理大量不同的计算机，因此可能会有大量的干扰。为了使所有这些设备消失在背景中，它们必须预测用户未来的需求，并适应用户的环境，以减少所需的交互量。摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises

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