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Situvis:a visual tool for modeling a user's behaviour patterns in a pervasive environment

机译:Situvis:一种用于在普遍环境中对用户的行为模式进行建模的可视化工具

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摘要

One of the key challenges faced when developing context-aware pervasive systems is to capture the set of inputs that we want a system to adapt to. Arbitrarily specifying ranges of sensor values to respond to will lead to incompleteness of the specification, and may also result in conflicts, when multiple incompatible adaptations may be triggered by a single user action. We posit that the ideal approach combines the use of past traces of real, annotated context data with the ability for a system designer or user to go in and interactively modify the specification of the set of inputs a particular adaptation should be responsive to. We introduce Situvis, an interactive visualisation tool we have developed which assists users and developers of context-aware pervasive systems by visually representing the conditions that need to be present for a situation to be triggered in terms of the real-world context that is being recorded, and allows the user to visually inspect these properties, evaluate their correctness, and change them as required. This tool provides the means to understand the scope of any adaptation defined in the system, and intuitively resolve conflicts inherent in the specification.
机译:开发上下文感知型普适系统时面临的主要挑战之一是捕获我们希望系统适应的一组输入。当单个用户操作可能触发多个不兼容的适配时,任意指定要响应的传感器值范围将导致规范不完整,并且还可能导致冲突。我们认为,理想的方法将对真实的,带注释的上下文数据的过去跟踪的使用与系统设计者或用户进入并交互修改特定调整应响应的输入集规范的能力结合在一起。我们介绍Situvis,这是我们开发的一种交互式可视化工具,它通过可视化地表示要记录的真实上下文触发需要触发的情况,从而帮助上下文感知的普适系统的用户和开发人员,并允许用户直观地检查这些属性,评估其正确性,并根据需要进行更改。该工具提供了一种方法,可以理解系统中定义的任何适应范围,并直观地解决规范中固有的冲突。

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