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      Collective music listening: Movement energy is enhanced by groove and visual social cues

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          Abstract

          The regularity of musical beat makes it a powerful stimulus promoting movement synchrony among people. Synchrony can increase interpersonal trust, affiliation, and cooperation. Musical pieces can be classified according to the quality of groove; the higher the groove, the more it induces the desire to move. We investigated questions related to collective music-listening among 33 participants in an experiment conducted in a naturalistic yet acoustically controlled setting of a research concert hall with motion tracking. First, does higher groove music induce (1) movement with more energy and (2) higher interpersonal movement coordination? Second, does visual social information manipulated by having eyes open or eyes closed also affect energy and coordination? Participants listened to pieces from four categories formed by crossing groove (high, low) with tempo (higher, lower). Their upper body movement was recorded via head markers. Self-reported ratings of grooviness, emotional valence, emotional intensity, and familiarity were collected after each song. A biomechanically motivated measure of movement energy increased with high-groove songs and was positively correlated with grooviness ratings, confirming the theoretically implied but less tested motor response to groove. Participants’ ratings of emotional valence and emotional intensity correlated positively with movement energy, suggesting that movement energy relates to emotional engagement with music. Movement energy was higher in eyes-open trials, suggesting that seeing each other enhanced participants’ responses, consistent with social facilitation or contagion. Furthermore, interpersonal coordination was higher both for the high-groove and eyes-open conditions, indicating that the social situation of collective music listening affects how music is experienced.

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          Application of the cross wavelet transform and wavelet coherence to geophysical time series

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            Fitting Linear Mixed-Effects Models using lme4

            Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. 51 pages, including R code, and an appendix
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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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                Author and article information

                Journal
                Q J Exp Psychol (Hove)
                Q J Exp Psychol (Hove)
                QJP
                spqjp
                Quarterly Journal of Experimental Psychology (2006)
                SAGE Publications (Sage UK: London, England )
                1747-0218
                1747-0226
                17 February 2021
                June 2021
                : 74
                : 6
                : 1037-1053
                Affiliations
                [1 ]LIVELab, McMaster University, Hamilton, Ontario, Canada
                [2 ]Research and High-Performance Computing Support, McMaster University, Hamilton, Ontario, Canada
                [3 ]Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
                [4 ]Rotman Research Institute, Toronto, Ontario, Canada
                Author notes
                [*]Dobromir Dotov, LIVELab, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4K1, Canada. Email: dotovd@ 123456mcmaster.ca
                Author information
                https://orcid.org/0000-0002-5543-360X
                Article
                10.1177_1747021821991793
                10.1177/1747021821991793
                8107509
                33448253
                777ef47e-f854-4792-9d37-f931795223d8
                © Experimental Psychology Society 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 23 December 2019
                : 11 December 2020
                : 14 December 2020
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada, FundRef https://doi.org/10.13039/501100000038;
                Funded by: social sciences and humanities research council of canada, FundRef https://doi.org/10.13039/501100000155;
                Funded by: canadian institutes of health research, FundRef https://doi.org/10.13039/501100000024;
                Funded by: canadian institute for advanced research, FundRef https://doi.org/10.13039/100007631;
                Categories
                Original Articles
                Custom metadata
                ts1

                Clinical Psychology & Psychiatry
                collective behaviour,embodiment,groove,group dynamics,joint action,social facilitation

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