Towards a New Model of Verbal Monitoring.
Towards a New Model of Verbal Monitoring.
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DOI：
10.5334/joc.81
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发表时间：
2020-09-03
影响因子：
--
通讯作者：
Hartsuiker, Robert J
中科院分区：
文献类型：
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作者：
Gauvin, Hanna S;Hartsuiker, Robert J
和所有人类活动一样，言语交际也充满了错误。据估计，人类每天产生大约16，000个单词，但选择用于生产的单词并不总是正确的，发音也不总是完美的。然而，为了促进沟通，重要的是要限制错误的数量。这是通过口头监测机制实现的。上个世纪的大量研究揭示了言语监控过程中机制的一些特性。人们已经设想了十几种语言监控的途径。然而，迄今为止，还没有关于口头监测的完整说明。在本文中，我们首先概述了已被实证证明的言语监控的属性。其次是讨论当前的言语监控模型：知觉回路理论，冲突监控，分层状态反馈控制模型，和前向模型理论。这些模型中的每一个进行了评估，给出了实证研究结果和理论考虑。然后，我们概述了目前的理论，我们解决了一个新的模式的口头监测生产和感知的建议，基于冲突监测模型的空白。此外，这个新的模型提出了一种机制，即检测到的错误如何导致纠正。在我们的新模型中提出的错误解决机制，然后在计算模型中进行测试。最后，我们概述了该模型的进展和预测。
As all human activities, verbal communication is fraught with errors. It is estimated that humans produce around 16,000 words per day, but the word that is selected for production is not always correct and neither is the articulation always flawless. However, to facilitate communication, it is important to limit the number of errors. This is accomplished via the verbal monitoring mechanism. A body of research over the last century has uncovered a number of properties of the mechanisms at work during verbal monitoring. Over a dozen routes for verbal monitoring have been postulated. However, to date a complete account of verbal monitoring does not exist. In the current paper we first outline the properties of verbal monitoring that have been empirically demonstrated. This is followed by a discussion of current verbal monitoring models: the perceptual loop theory, conflict monitoring, the hierarchical state feedback control model, and the forward model theory. Each of these models is evaluated given empirical findings and theoretical considerations. We then outline lacunae of current theories, which we address with a proposal for a new model of verbal monitoring for production and perception, based on conflict monitoring models. Additionally, this novel model suggests a mechanism of how a detected error leads to a correction. The error resolution mechanism proposed in our new model is then tested in a computational model. Finally, we outline the advances and predictions of the model.