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Investigating Conversational Dynamics: Interactive Alignment, Interpersonal Synergy, and Collective Task Performance

机译:调查对话动态:互动结盟,人际协作和集体任务绩效

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摘要

This study investigates interpersonal processes underlying dialog by comparing two approaches, interactive alignment and interpersonal synergy, and assesses how they predict collective performance in a joint task. While the interactive alignment approach highlights imitative patterns between interlocutors, the synergy approach points to structural organization at the level of the interaction—such as complementary patterns straddling speech turns and interlocutors. We develop a general, quantitative method to assess lexical, prosodic, and speech/pause patterns related to the two approaches and their impact on collective performance in a corpus of task-oriented conversations. The results show statistical presence of patterns relevant for both approaches. However, synergetic aspects of dialog provide the best statistical predictors of collective performance and adding aspects of the alignment approach does not improve the model. This suggests that structural organization at the level of the interaction plays a crucial role in task-oriented conversations, possibly constraining and integrating processes related to alignment.
机译:这项研究通过比较交互式对齐和人际协作这两种方法来调查对话中的人际关系过程,并评估它们如何预测联合任务中的集体绩效。尽管交互式对齐方法强调了对话者之间的模仿模式,但协同方法则指向了交互级别的结构组织,例如跨越语音转弯和对话者的互补模式。我们开发了一种通用的定量方法来评估与这两种方法有关的词汇,韵律和言语/暂停模式,以及它们对面向任务的对话库中的集体绩效的影响。结果表明统计上存在与两种方法相关的模式。但是,对话的协同方面提供了集体绩效的最佳统计预测指标,并且添加对齐方式的方面并不能改善模型。这表明在交互级别的结构组织在面向任务的对话中扮演着至关重要的角色,可能会限制和整合与对齐相关的过程。

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