Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands.
Department of Biological Sciences, Faculty of Natural Sciences, Norwegian University of Science and Technology N-6025 Ålesund, Norway.
Philos Trans R Soc Lond B Biol Sci. 2023 Apr 24;378(1875):20210477. doi: 10.1098/rstb.2021.0477. Epub 2023 Mar 6.
Rhythmic patterns in interactive contexts characterize human behaviours such as conversational turn-taking. These timed patterns are also present in other animals, and often described as rhythm. Understanding fine-grained temporal adjustments in interaction requires complementary quantitative methodologies. Here, we showcase how vocal interactive rhythmicity in a non-human animal can be quantified using a multi-method approach. We record vocal interactions in harbour seal pups () under controlled conditions. We analyse these data by combining analytical approaches, namely categorical rhythm analysis, circular statistics and time series analyses. We test whether pups' vocal rhythmicity varies across behavioural contexts depending on the absence or presence of a calling partner. Four research questions illustrate which analytical approaches are complementary versus orthogonal. For our data, circular statistics and categorical rhythms suggest that a calling partner affects a pup's call timing. Granger causality suggests that pups predictively adjust their call timing when interacting with a real partner. Lastly, the ADaptation and Anticipation Model estimates statistical parameters for a potential mechanism of temporal adaptation and anticipation. Our analytical complementary approach constitutes a proof of concept; it shows feasibility in applying typically unrelated techniques to seals to quantify vocal rhythmic interactivity across behavioural contexts. This article is part of a discussion meeting issue 'Face2face: advancing the science of social interaction'.
在互动语境中,节奏模式是人类行为的特征,例如会话中的话轮转换。这些时间模式也存在于其他动物中,通常被描述为节奏。要理解互动中的精细时间调整,需要互补的定量方法。在这里,我们展示了如何使用多方法方法来量化非人类动物的声乐互动节奏。我们在受控条件下记录了港湾海豹幼崽 () 的声乐互动。我们通过结合分析方法来分析这些数据,即分类节奏分析、循环统计和时间序列分析。我们测试了幼崽的声乐节奏是否会根据有无呼叫伙伴而在行为环境中发生变化。四个研究问题说明了哪些分析方法是互补的,哪些是正交的。对于我们的数据,循环统计和分类节奏表明,呼叫伙伴会影响幼崽的呼叫时间。格兰杰因果关系表明,当与真实伙伴互动时,幼崽会预测性地调整他们的呼叫时间。最后,适应和预期模型估计了潜在的时间适应和预期机制的统计参数。我们的分析互补方法是一个概念验证;它表明在海豹中应用通常不相关的技术来量化跨行为环境的声乐互动节奏是可行的。本文是“面对面:推进社会互动科学”讨论会议的一部分。