Complexity Matching in Dyadic Conversation
Complexity Matching in Dyadic Conversation
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DOI：
10.1037/xge0000021
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发表时间：
2014-12-01
影响因子：
4.1
通讯作者：
Kello, Christopher T.
中科院分区：
文献类型：
--
作者：
Abney, Drew H.;Paxton, Alexandra;Kello, Christopher T.
最近对并元相互作用的研究已经考察了同步、夹带、排列和收敛现象。所有这些形式的行为匹配都被假设为在对话者之间建立协调和共同点方面起到支持作用。在本研究中，发现了一种被称为复杂性匹配的新协调的证据。通过声学起始事件的时间序列分析会话语音信号的时间动力学。声能周期中的计时被发现表现出行为匹配，这反映了话轮转换中互补的计时。此外，声学开始时间在一系列时间尺度上呈现出幂规律聚集，并且这些幂规律函数被发现呈现出与行为匹配不同的复杂性匹配。复杂性匹配是从互动排列和其他理论原则的角度来讨论的，这些原则导致了关于二元会话和互动中的信息交换的新假说。
Recent studies of dyadic interaction have examined phenomena of synchronization, entrainment, alignment, and convergence. All these forms of behavioral matching have been hypothesized to play a supportive role in establishing coordination and common ground between interlocutors. In the present study, evidence is found for a new kind of coordination termed complexity matching. Temporal dynamics in conversational speech signals were analyzed through time series of acoustic onset events. Timing in periods of acoustic energy was found to exhibit behavioral matching that reflects complementary timing in turn-taking. In addition, acoustic onset times were found to exhibit power law clustering across a range of timescales, and these power law functions were found to exhibit complexity matching that is distinct from behavioral matching. Complexity matching is discussed in terms of interactive alignment and other theoretical principles that lead to new hypotheses about information exchange in dyadic conversation and interaction in general.