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探究对话动态:互动对齐、人际协同与集体任务表现

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

作者信息

Fusaroli Riccardo, Tylén Kristian

机构信息

Center for Semiotics, Aarhus University.

The Interacting Minds Centre, Aarhus University.

出版信息

Cogn Sci. 2016 Jan;40(1):145-71. doi: 10.1111/cogs.12251. Epub 2015 May 19.

DOI:10.1111/cogs.12251
PMID:25988263
Abstract

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.

摘要

本研究通过比较两种方法,即互动协调和人际协同,来探究对话背后的人际过程,并评估它们如何预测联合任务中的集体表现。虽然互动协调方法强调对话者之间的模仿模式,但协同方法则指向互动层面的结构组织,比如跨越话轮和对话者的互补模式。我们开发了一种通用的定量方法,以评估与这两种方法相关的词汇、韵律以及言语/停顿模式,及其对面向任务的对话语料库中集体表现的影响。结果显示,与两种方法相关的模式在统计学上均存在。然而,对话的协同方面为集体表现提供了最佳的统计学预测指标,而加入协调方法的相关方面并不能改进模型。这表明互动层面的结构组织在面向任务的对话中起着关键作用,可能会限制和整合与协调相关的过程。

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