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Conversation Electrified: ERP Correlates of Speech Act Recognition in Underspecified Utterances

机译:对话电动化:ERP与言语行为识别在未指定言语中的关联

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摘要

The ability to recognize speech acts (verbal actions) in conversation is critical for everyday interaction. However, utterances are often underspecified for the speech act they perform, requiring listeners to rely on the context to recognize the action. The goal of this study was to investigate the time-course of auditory speech act recognition in action-underspecified utterances and explore how sequential context (the prior action) impacts this process. We hypothesized that speech acts are recognized early in the utterance to allow for quick transitions between turns in conversation. Event-related potentials (ERPs) were recorded while participants listened to spoken dialogues and performed an action categorization task. The dialogues contained target utterances that each of which could deliver three distinct speech acts depending on the prior turn. The targets were identical across conditions, but differed in the type of speech act performed and how it fit into the larger action sequence. The ERP results show an early effect of action type, reflected by frontal positivities as early as 200 ms after target utterance onset. This indicates that speech act recognition begins early in the turn when the utterance has only been partially processed. Providing further support for early speech act recognition, actions in highly constraining contexts did not elicit an ERP effect to the utterance-final word. We take this to show that listeners can recognize the action before the final word through predictions at the speech act level. However, additional processing based on the complete utterance is required in more complex actions, as reflected by a posterior negativity at the final word when the speech act is in a less constraining context and a new action sequence is initiated. These findings demonstrate that sentence comprehension in conversational contexts crucially involves recognition of verbal action which begins as soon as it can.
机译:识别对话中言语行为(言语行为)的能力对于日常互动至关重要。但是,话语通常不会为他们执行的言语行为指定,要求听众依靠上下文来识别该行为。这项研究的目的是调查听觉言语行为识别在动作未指定言语中的时程,并探讨顺序语境(先前的动作)如何影响这一过程。我们假设语音行为在发声中被较早地识别出来,以允许会话之间的快速过渡。在参与者听语音对话并执行动作分类任务的同时,记录与事件相关的电位(ERP)。对话包含目标话语,每个话语可以根据前一回合发出三种不同的言语行为。在各种情况下,目标都是相同的,但是所执行的言语行为类型以及如何适应更大的动作序列是不同的。 ERP结果显示了动作类型的早期效果,最早在目标发声后200毫秒就反映出额叶阳性。这表明当话语仅被部分处理时,语音动作识别在转弯初期开始。为早期的语音行为识别提供进一步的支持,在高度限制的上下文中的行为并没有对最终发音单词产生ERP效果。我们以此来表明,听众可以通过语音行为级别的预测来识别最终单词之前的动作。但是,在更复杂的动作中需要基于完整话语的其他处理,这在语音动作处于较少约束的上下文中并且启动新的动作序列时,最终词的后否定性反映了这一点。这些发现表明,在会话环境中的句子理解至关重要地涉及到对言语行为的认识,这种行为应尽早开始。

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