Heterogeneous artificial agents for triage nurse assistance
Heterogeneous artificial agents for triage nurse assistance
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用于分诊护士协助的异质人工代理
DOI：
10.1109/ichr.2010.5686839
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
K. Kawamura
中科院分区：
文献类型：
--
作者：
D. Wilkes;S. Franklin;Erdem Erdemir;Stephen M. Gordon;Steve Strain;Karen Miller;K. Kawamura
类人机器人研究人员的一个梦想是开发出一种从身体和大脑两方面都完全类似人类的(无论是什么意思)人工智能体。我们现在已经看到越来越多的人形机器人(如本田的ASIMO，Aldebaran的Nao和许多其他机器人)。然而，这些只展示了有限数量的感知、学习和决策方面的认知技能。另一方面，大脑研究已经开始产生像LIDA这样的计算模型。在本文中，我们提出了一种以基于场景的分布式系统的形式进行体脑整合的中间方法。繁忙的医院急诊科(ED)关心的是缩短病人的等待时间，减轻不堪重负的分诊团队医生、护士和医务人员的负担，以及减少错误数量。在这里，我们提出了一个由认知机器人和监督员组成的系统，名为TriageBot系统，它将从即将到来的患者那里收集后勤和医疗信息，并进行诊断测量，以供分诊团队稍后使用。TriageBot还将向分诊护士提供试探性的、可能的诊断，以及非内科护理的建议。TriageBot系统中的一些机器人在形式上将是人形的，但它们并不一定都采用这种形式。在类人机器人设计、传感器技术和认知控制体系结构方面的进步使这样的系统至少在原则上是可行的。
A dream of humanoid robot researchers is to develop a complete “human-like” (whatever that means) artificial agent both in terms of body and brain. We now have seen an increasing number of humanoid robots (such as Honda's ASIMO, Aldebaran's Nao and many others). These, however, display only a limited number of cognitive skills in terms of perception, learning and decision-making. On the other hand, brain research has begun to produce computational models such as LIDA. In this paper, we propose an intermediate approach for body-brain integration in a form of a scenario-based distributed system. Busy hospital Emergency Departments (ED) are concerned with shortening the waiting times of patients, with relieving overburdened triage team physicians, nurses and medics, and with reducing the number of mistakes. Here we propose a system of cognitive robots and a supervisor, dubbed the TriageBot System that would gather both logistical and medical information, as well as take diagnostic measurements, from an incoming patient for later use by the triage team. TriageBot would also give tentative, possible diagnoses to the triage nurse, along with recommendations for non-physician care Some of the robots in the TriageBot System would be humanoid in form, but it is not necessary that all of them take this form. Advances in humanoid robotic design, in sensor technology, and in cognitive control architectures make such a system feasible, at least in principle.