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Guest Editorial Special Issue on Situation, Activity, and Goal Awareness in Cyber-Physical Human–Machine Systems

机译:客座社论关于网络物理人机系统的状况,活动和目标意识的特刊

摘要

The papers in this special section focus on cyber-physical man-machine systems with particular emphasis on situation, activity, and goal awareness deployed in these systems. Recent advances in sensing technologies, the Internet of Things, pervasive computing, smart environments have transformed traditional embedded ICT systems into an ecosystem of interconnected and collaborating smart objects, devices, embedded systems, and most importantly humans. Such systems, often referred to as cyber-physical systems (CPS), are usually human user-driven or user-centered, and are aimed at providing people and businesses with a wide range of innovative applications and services. For example, a “smart home” can monitor and analyze the daily activities of its inhabitants, usually the elderly or individuals with disabilities, so that personalized context-aware assistance can be provided. A “smart city” can monitor, manage, and potentially control all basic city functionalities such as transport, energy supply, and waste collection, at a higher level of automation by collecting and harnessing sensor data across a large geographic expanse. In order to respond in real-time to an individual user’s specific needs in dynamic and complex situations, and to support ergonomics and user-friendliness through consideration of human factors such as privacy, dignity, and behavior characteristics, cyber-physical human–machine systems need to be aware of the physical environment and human participant behavior. This awareness enables effective and fast feedback loops between sensing and actuation, possibly with cognitive and learning capabilities adapting to participant preferences, capabilities, and the modality of human–machine interaction as well as dynamic situations.
机译:本节中的论文重点介绍了网络物理人机系统,特别着重于这些系统中部署的情况,活动和目标意识。传感技术,物联网,普适计算,智能环境的最新进展已将传统的嵌入式ICT系统转变为相互连接和协作的智能对象,设备,嵌入式系统,尤其是人类的生态系统。这种系统通常称为网络物理系统(CPS),通常是由用户驱动或以用户为中心的,旨在为人们和企业提供广泛的创新应用程序和服务。例如,“智能家居”可以监视和分析其居民(通常是老年人或残疾人)的日常活动,以便提供个性化的情境感知帮助。 “智能城市”可以通过在较大的地理区域内收集和利用传感器数据,以更高的自动化水平来监视,管理和潜在地控制所有基本城市功能,例如运输,能源供应和废物收集。为了在动态和复杂的情况下实时响应单个用户的特定需求,并通过考虑人为因素(例如隐私,尊严和行为特征,网络物理人机系统)来支持人体工程学和用户友好性需要了解物理环境和人类参与者的行为。这种意识可以在感应和驱动之间实现有效而快速的反馈循环,可能具有适应参与者偏好,能力和人机交互方式以及动态情况的认知和学习能力。

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