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Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-Physical Human–Machine Systems

机译:网络物理人机系统中上下文感知交互决策支持的信息模型和体系结构规范

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摘要

This paper aims to contribute to situation, activity, and goal awareness in cyber-physical human–machine systems (HMS) by presenting a new information model and specifications for a decision-making component that can be integrated in current system architectures. The objective of this work is to improve the efficacy, acceptance, adaptability, and overall performance of HMS and human–system interaction (HSI) applications using a context-based approach. Our hypothesis is that we can enhance current interaction functionalities by integrating context and interaction information models into a decision-making component that behaves as a supervision process for controlling interaction. In HSI, we aim to define a general human model that may lead to principles and algorithms, allowing more natural and effective interaction between humans and artificial agents. The approach was implemented and tested targeting application in the domain of active and assisted living. The challenge of user acceptance is of vital importance for future solutions and is still one of the major reasons for reluctance to adopt cyber-physical systems in this domain.
机译:本文旨在为网络物理人机系统(HMS)的情况,活动和目标意识做出贡献,方法是为决策组件提供一种新的信息模型和规范,该组件可以集成到当前的系统体系结构中。这项工作的目的是使用基于上下文的方法来提高HMS和人机交互(HSI)应用程序的功效,接受度,适应性和整体性能。我们的假设是,我们可以通过将上下文和交互信息模型集成到决策组件中来增强当前的交互功能,该决策组件充当控制交互的监督过程。在HSI中,我们旨在定义一个通用的人类模型,该模型可能会导致原理和算法的出现,从而使人类与人工代理之间能够更自然有效地进行交互。该方法已在主动和辅助生活领域中针对目标应用程序进行了实施和测试。用户接受度的挑战对于将来的解决方案至关重要,并且仍然是不愿意在此领域采用网络物理系统的主要原因之一。

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