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      Rhythm in dyadic interactions

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          Abstract

          This review paper discusses rhythmic interactions and distinguishes them from non-rhythmic interactions. We report on communicative behaviours in social and sexual contexts, as found in dyads of humans, non-human primates, non-primate mammals, birds, anurans and insects. We discuss observed instances of rhythm in dyadic interactions, identify knowledge gaps and propose suggestions for future research. We find that most studies on rhythmicity in interactive signals mainly focus on one modality (acoustic or visual) and we suggest more work should be performed on multimodal signals. Although the social functions of interactive rhythms have been fairly well described, developmental research on rhythms used to regulate social interactions is still lacking. Future work should also focus on identifying the exact timing mechanisms involved. Rhythmic signalling behaviours are widespread and critical in regulating social interactions across taxa, but many questions remain unexplored. A multidisciplinary, comparative cross-species approach may help provide answers.

          This article is part of the theme issue ‘Synchrony and rhythm interaction: from the brain to behavioural ecology’.

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          Most cited references153

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          Sensorimotor synchronization: a review of recent research (2006-2012).

          Sensorimotor synchronization (SMS) is the coordination of rhythmic movement with an external rhythm, ranging from finger tapping in time with a metronome to musical ensemble performance. An earlier review (Repp, 2005) covered tapping studies; two additional reviews (Repp, 2006a, b) focused on music performance and on rate limits of SMS, respectively. The present article supplements and extends these earlier reviews by surveying more recent research in what appears to be a burgeoning field. The article comprises four parts, dealing with (1) conventional tapping studies, (2) other forms of moving in synchrony with external rhythms (including dance and nonhuman animals' synchronization abilities), (3) interpersonal synchronization (including musical ensemble performance), and (4) the neuroscience of SMS. It is evident that much new knowledge about SMS has been acquired in the last 7 years.
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            The social behaviour of anuran amphibians

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              Joint attention and early language.

              This paper reports 2 studies that explore the role of joint attentional processes in the child's acquisition of language. In the first study, 24 children were videotaped at 15 and 21 months of age in naturalistic interaction with their mothers. Episodes of joint attentional focus between mother and child--for example, joint play with an object--were identified. Inside, as opposed to outside, these episodes both mothers and children produced more utterances, mothers used shorter sentences and more comments, and dyads engaged in longer conversations. Inside joint episodes maternal references to objects that were already the child's focus of attention were positively correlated with the child's vocabulary at 21 months, while object references that attempted to redirect the child's attention were negatively correlated. No measures from outside these episodes related to child language. In an experimental study, an adult attempted to teach novel words to 10 17-month-old children. Words referring to objects on which the child's attention was already focused were learned better than words presented in an attempt to redirect the child's attentional focus.
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                Author and article information

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                Journal
                Philosophical Transactions of the Royal Society B: Biological Sciences
                Phil. Trans. R. Soc. B
                The Royal Society
                0962-8436
                1471-2970
                October 11 2021
                August 23 2021
                October 11 2021
                : 376
                : 1835
                Affiliations
                [1 ]Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
                [2 ]Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium
                [3 ]Department of Biology, Faculty of Science, Hokkaido University, Sapporo, Japan
                [4 ]Hanse-Wissenschaftskolleg Institute for Advanced Study, ‘Brain’ Research Area, Delmenhorst, Germany
                [5 ]Division of Animal Physiology and Behaviour, Department of Neuroscience, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
                [6 ]Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
                [7 ]Institute for Advanced Study, University of Amsterdam, Amsterdam, The Netherlands
                [8 ]Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
                [9 ]Center for Science and Society, Columbia University, New York, NY, USA
                [10 ]Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
                Article
                10.1098/rstb.2020.0337
                34420383
                8418b581-5745-4ab8-8fe6-7d26d4125ecb
                © 2021

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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