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Achieving human-agent teamwork in eHealth based pervasive intelligent environments

机译:在基于eHECHEALIVE智能环境中实现人工代理团队合作

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Pervasive intelligent environments, such as digital homes, offer huge potentials for eHealth services. However, there is a question as to how best to manage (i.e. configure and program) these systems. The majority of solutions to-date rely exclusively on either end users or autonomous agents to manage the environment, which may not be suitable for all users and in certain situations, especially in eHealth applications where uses may have very specific requirements that can change considerably over time. In this work-in-progress paper we argue that human-agent teamwork is vital for the adoption of future pervasive computing systems into our everyday lives; we discuss these issues, exposing the problem of exclusive management and we explore a solution, presenting our novel architecture for an adjustable autonomy agent that enables human-agent based teamwork. This work contributes to the PAL project: a collaborative research effort between University of Essex, BT, University of Cambridge and Ericsson.
机译:普遍的智能环境,如数字住宅,为电子健康服务提供了巨大的潜力。但是,有一个问题是如何最好地管理(即配置和编程)这些系统。大多数解决方案到目前为止依赖于最终用户或自主代理商来管理环境,这可能不适合所有用户和某些情况,特别是在使用可能具有非常具体的要求的EHEAPTION应用中,这些情况可能会大大变化时间。在这篇论文中,我们认为人工代理团队合作对于采用未来普遍的计算系统进入日常生活方面至关重要;我们讨论了这些问题,暴露了独家管理问题,我们探索了一个解决方案,为我们的新型架构提供了可调节的自主代代理,这使得基于人类代理的团队合作。这项工作有助于PLI项目:埃塞克斯大学,剑桥大学和爱立信的Essex大学协作研究努力。

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