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Interaction Quality as a Human-Human Task-Oriented Conversation Performance

机译:作为人为任务的对话性能的互动质量

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The spoken dialogue systems (SDSs), which are designed to replace employees in different services, need some indicators, which show what happened in the ongoing dialogue and what the next step in system's behaviour should be. Thus, some indicators for the SDSs come from the field of the call centre's quality evaluation. In turn, some metrics like Interaction Quality (IQ), which was designed for human-computer spoken interaction, can be applied to human-human conversations. Such experience might be used for both call centres and SDSs for service quality improvement. This paper provides the results of IQ modelling for human-human task-oriented conversation with several classification algorithms.
机译:口头对话系统(SDSS)旨在取代不同服务的员工,需要一些指标,这些指标显示正在进行的对话中发生的事情以及系统行为的下一步应该是什么。因此,SDSS的一些指标来自呼叫中心的质量评估领域。反过来,互动质量(IQ)的一些指标,它是用于人机口语互动的互动质量(IQ),可以应用于人类谈话。这种经验可能用于呼叫中心和SDSS,以进行服务质量改进。本文提供了与几种分类算法的人为任务的对话的IQ建模结果。

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