The virtual drum circle: polyrhythmic music interactions in mixed reality

References

• Agawu, K. (2006). Structural analysis or cultural analysis? Competing perspectives on the “standard pattern” of West African rhythm. Journal of the American Musicological Society, 59(1), 1–46. https://doi.org/10.1525/jams.2006.59.1.1
   Web of Science ®Google Scholar
• Aron, A., Aron, E. N., & Smollan, D. (1992). Inclusion of other in the self scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63(4), 596. https://doi.org/10.1037/0022-3514.63.4.596
   Web of Science ®Google Scholar
• Atmaca, S., Sebanz, N., & Knoblich, G. (2011). The joint flanker effect: Sharing tasks with real and imagined co-actors. Experimental Brain Research, 211(3), 371–385. https://doi.org/10.1007/s00221-011-2709-9
   PubMed Web of Science ®Google Scholar
• Baker, C. (2017). Virtual, artificial and mixed reality: New frontiers in performance. In 2017 23rd International Conference on Virtual System & Multimedia (VSMM) (pp. 1–10). IEEE.
   Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv Preprint arXiv:1406.5823.
   Google Scholar
• Berthaut, F. (2020). 3D interaction techniques for musical expression. Journal of New Music Research, 49(1), 60–72. https://doi.org/10.1080/09298215.2019.1706584
   Web of Science ®Google Scholar
• Blascovich, J., Loomis, J., Beall, A. C., Swinth, K. R., Hoyt, C. L., & Bailenson, J. N. (2002). Target ARTICLE: Immersive virtual environment technology as a methodological tool for social psychology. Psychological Inquiry, 13(2), 103–124. https://doi.org/10.1207/S15327965PLI1302_01
   Web of Science ®Google Scholar
• Bolt, N. K., & Loehr, J. D. (2017). The predictability of a partner’s actions modulates the sense of joint agency. Cognition, 161, 60–65. https://doi.org/10.1016/j.cognition.2017.01.004
   PubMed Web of Science ®Google Scholar
• Brown, S. C., & Knox, D. (2017). Why go to pop concerts? The motivations behind live music attendance. Musicae Scientiae, 21(3), 233–249. https://doi.org/10.1177/1029864916650719
   Web of Science ®Google Scholar
• Burger, B., Thompson, M. R., Luck, G., Saarikallio, S. H., & Toiviainen, P. (2014). Hunting for the beat in the body: On period and phase locking in music-induced movement. Frontiers in Human Neuroscience, 8, 903. https://doi.org/10.3389/fnhum.2014.00903
   PubMed Web of Science ®Google Scholar
• Çamci, A., & Hamilton, R. (2020). Audio-first VR: New perspectives on musical experiences in virtual environments. Journal of New Music Research, 1–7. https://doi.org/10.1080/09298215.2019.1707234
   Web of Science ®Google Scholar
• Carrer, L. R. J., Pompéia, S., & Miranda, M. C. (2022). Sensorimotor synchronization with music and metronome in school-aged children. Psychology of Music, 51(2), 523–540.
   Web of Science ®Google Scholar
• Chafe, C., Caceres, J.-P., & Gurevich, M. (2010). Effect of temporal separation on synchronization in rhythmic performance. Perception, 39(7), 982–992. https://doi.org/10.1068/p6465
   PubMed Web of Science ®Google Scholar
• Chang, A., Kragness, H. E., Livingstone, S. R., Bosnyak, D. J., & Trainor, L. J. (2019). Body sway reflects joint emotional expression in music ensemble performance. Scientific Reports, 9(1), 1–11. https://doi.org/10.1038/s41598-018-37186-2
   PubMedGoogle Scholar
• Chang, A., Livingstone, S. R., Bosnyak, D. J., & Trainor, L. J. (2017). Body sway reflects leadership in joint music performance. Proceedings of the National Academy of Sciences, 114(21), E4134–E4141. https://doi.org/10.1073/pnas.1617657114
   PubMed Web of Science ®Google Scholar
• Chauvigné, L. A. S., Walton, A., Richardson, M. J., & Brown, S. (2019). Multi-person and multisensory synchronization during group dancing. Human Movement Science, 63, 199–208. https://doi.org/10.1016/j.humov.2018.12.005
   PubMed Web of Science ®Google Scholar
• Christensen, R. H. B. (2015). Analysis of ordinal data with cumulative link models—estimation with the R-package ordinal. R-Package Version, 28, 145.
   Google Scholar
• Cipresso, P., Giglioli, I. A. C., Raya, M. A., & Riva, G. (2018). The past, present, and future of virtual and augmented reality research: A network and cluster analysis of the literature. Frontiers in Psychology, 9, 2086. https://doi.org/10.3389/fpsyg.2018.02086
   PubMed Web of Science ®Google Scholar
• D’Amario, S., Daffern, H., & Bailes, F. (2018). Synchronization in singing duo performances: The roles of visual contact and leadership instruction. Frontiers in Psychology, 9, 1208. https://doi.org/10.3389/fpsyg.2018.01208
   PubMed Web of Science ®Google Scholar
• D’Ausilio, A., Novembre, G., Fadiga, L., & Keller, P. E. (2015). What can music tell us about social interaction? Trends in Cognitive Sciences, 19(3), 111–114. https://doi.org/10.1016/j.tics.2015.01.005
   PubMed Web of Science ®Google Scholar
• de Borst, A. W., & de Gelder, B. (2015). Is it the real deal? Perception of virtual characters versus humans: An affective cognitive neuroscience perspective. Frontiers in Psychology, 6, 576. https://doi.org/10.3389/fpsyg.2015.00576
   PubMed Web of Science ®Google Scholar
• De Bruyn, L., Leman, M., Moelants, D., Demey, M., & De Smet, F. (2008). Measuring and quantifying the impact of social interaction on listeners’ movement to music. In K.  Jensen (Ed.), Proceedings of the 2008 Computers in Music Modeling and Retrieval and Network for Cross-Disciplinary Studies of Music and Meaning Conference (pp. 298–305).
   Google Scholar
• De Jaegher, H., & Di Paolo, E. (2007). Participatory sense-making. Phenomenology and the Cognitive Sciences, 6(4), 485–507. https://doi.org/10.1007/s11097-007-9076-9
   Google Scholar
• Dell’Anna, A., Buhmann, J., Six, J., Maes, P.-J., & Leman, M. (2020). Timing markers of interaction quality during semi-hocket singing. Frontiers in Neuroscience, 14, 619. https://doi.org/10.3389/fnins.2020.00619
   PubMed Web of Science ®Google Scholar
• Dell’Anna, A., Leman, M., & Berti, A. (2021). Musical interaction reveals music as embodied language. Frontiers in Neuroscience, 818.
   Google Scholar
• Demos, A. P., Chaffin, R., Begosh, K. T., Daniels, J. R., & Marsh, K. L. (2012). Rocking to the beat: Effects of music and partner’s movements on spontaneous interpersonal coordination. Journal of Experimental Psychology: General, 141(1), 49–53. https://doi.org/10.1037/a0023843
   PubMed Web of Science ®Google Scholar
• Demos, A. P., Chaffin, R., & Logan, T. (2018). Musicians body sway embodies musical structure and expression: A recurrence-based approach. Musicae Scientiae, 22(2), 244–263. https://doi.org/10.1177/1029864916685928
   Web of Science ®Google Scholar
• De Oliveira, E. C., Bertrand, P., Lesur, M. E. R., Palomo, P., Demarzo, M., Cebolla, A., Baños, R., & Tori, R. (2016). Virtual body swap: A new feasible tool to be explored in health and education. In 2016 XVIII Symposium on Virtual and Augmented Reality (SVR) (pp. 81–89).
   Google Scholar
• Desmet, F., Leman, M., Lesaffre, M., & De Bruyn, L. (2009). Statistical analysis of human body movement and group interactions in response to music. In Andreas Fink, Berthold Lausen, Wilfried Seidel, & Alfred Ultsch (Eds.), Advances in data analysis, data handling and business intelligence (pp. 399–408). Springer.
   Google Scholar
• Dotov, D., Bosnyak, D., & Trainor, L. J. (2021). Collective music listening: Movement energy is enhanced by groove and visual social cues. Quarterly Journal of Experimental Psychology, 74(6), 1037–1053. https://doi.org/10.1177/1747021821991793
   Web of Science ®Google Scholar
• Dotov, D., Delasanta, L., Cameron, D. J., Large, E. W., & Trainor, L. (2022). Collective dynamics support group drumming, reduce variability, and stabilize tempo drift. Elife, 11, e74816. https://doi.org/10.7554/eLife.74816
   PubMed Web of Science ®Google Scholar
• Drioli, C., Allocchio, C., & Buso, N. (2013). Networked performances and natural interaction via LOLA: Low latency high quality A/V streaming system. In P. Nesi (Ed.), Lecture notes in computer science (Vol. 7990, pp. 240–250). Springer: Springer Berlin Heidelberg.
   Google Scholar
• Eerola, T., Jakubowski, K., Moran, N., Keller, P. E., & Clayton, M. (2018). Shared periodic performer movements coordinate interactions in duo improvisations. Royal Society Open Science, 5(2), 171520. https://doi.org/10.1098/rsos.171520
   PubMed Web of Science ®Google Scholar
• Engel, A. K., Friston, K. J., & Kragic, D. (2016). The pragmatic turn: Toward action-oriented views in cognitive science (Vol. 18). MIT Press.
   Google Scholar
• Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158–172. https://doi.org/10.1007/s11031-008-9102-4
   Web of Science ®Google Scholar
• Friedman, D., Pizarro, R., Or-Berkers, K., Neyret, S., Pan, X., & Slater, M. (2014). A method for generating an illusion of backwards time travel using immersive virtual reality–an exploratory study. Frontiers in Psychology, 5, 943. https://doi.org/10.3389/fpsyg.2014.00943
   PubMed Web of Science ®Google Scholar
• Gonzalez-Sanchez, V. E., Zelechowska, A., & Jensenius, A. R. (2018). Correspondences between music and involuntary human micromotion during standstill. Frontiers in Psychology, 9, 1382.
   PubMed Web of Science ®Google Scholar
• Goupil, L., Wolf, T., Saint-Germier, P., Aucouturier, J.-J., & Canonne, C. (2021). Emergent shared intentions support coordination during collective musical improvisations. Cognitive Science, 45(1), e12932. https://doi.org/10.1111/cogs.12932
   PubMed Web of Science ®Google Scholar
• Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11(5/6), 561–566. https://doi.org/10.5194/npg-11-561-2004
   Web of Science ®Google Scholar
• Hale, J., & Hamilton, A. F. D. C. (2016). Testing the relationship between mimicry, trust and rapport in virtual reality conversations. Scientific Reports, 6(1), 1–11. https://doi.org/10.1038/srep35295
   PubMedGoogle Scholar
• Hamilton, R. (2019). Coretet: A 21st century virtual interface for musical expression. In Richard Kronland-Martinet, Sølvi Ystad, & Mitsuko Aramaki (Eds.), 14th International Symposium on Computer Music Multidisciplinary Research (pp. 1010–1021). Springer.
   Google Scholar
• Harrar, V., Harris, L. R., & Spence, C. (2017). Multisensory integration is independent of perceived simultaneity. Experimental Brain Research, 235(3), 763–775. https://doi.org/10.1007/s00221-016-4822-2
   PubMed Web of Science ®Google Scholar
• Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P., & Kringelbach, M. L. (2019). A Kuramoto model of self-other integration across interpersonal synchronization strategies. PLoS Computational Biology, 15(10).
   PubMed Web of Science ®Google Scholar
• Herrera, F., Bailenson, J., Weisz, E., Ogle, E., & Zaki, J. (2018). Building long-term empathy: A large-scale comparison of traditional and virtual reality perspective-taking. PLoS One, 13(10), e0204494. https://doi.org/10.1371/journal.pone.0204494
   PubMed Web of Science ®Google Scholar
• Kawase, S. (2014). Gazing behavior and coordination during piano duo performance. Attention, Perception, & Psychophysics, 76(2), 527–540. https://doi.org/10.3758/s13414-013-0568-0
   PubMed Web of Science ®Google Scholar
• Keller, P. E. (2014). Ensemble performance: Interpersonal alignment of musical expression. In D. Fabian, R. Timmers, & E. Schubert (Eds.), Expressiveness in music performance: Empirical approaches across styles and cultures (pp. 260–282). Oxford University Press.
   Google Scholar
• Kelso, J. A. S. (2009). Coordination dynamics. In R. A. Meyers (Ed.), Encyclopedia of complexity and systems science (pp. 1537–1565). Springer.
   Google Scholar
• Kilteni, K., Groten, R., & Slater, M. (2012). The sense of embodiment in virtual reality. Presence: Teleoperators and Virtual Environments, 21(4), 373–387. https://doi.org/10.1162/PRES_a_00124
   Web of Science ®Google Scholar
• Koban, L., Ramamoorthy, A., & Konvalinka, I. (2019). Why do we fall into sync with others? Interpersonal synchronization and the brain’s optimization principle. Social Neuroscience, 14(1), 1–9. https://doi.org/10.1080/17470919.2017.1400463
   PubMed Web of Science ®Google Scholar
• Konvalinka, I., Vuust, P., Roepstorff, A., & Frith, C. D. (2010). Follow you, follow me: Continuous mutual prediction and adaptation in joint tapping. Quarterly Journal of Experimental Psychology, 63(11), 2220–2230. https://doi.org/10.1080/17470218.2010.497843
   Web of Science ®Google Scholar
• Kothgassner, O. D., & Felnhofer, A. (2020). Does virtual reality help to cut the Gordian knot between ecological validity and experimental control? Annals of the International Communication Association, 44(3), 210–218. https://doi.org/10.1080/23808985.2020.1792790
   Google Scholar
• Leman, M. (2007). Embodied music cognition and mediation technology. MIT Press.
   Google Scholar
• Leman, M. (2021). Co-regulated timing in music ensembles: A Bayesian listener perspective. Journal of New Music Research, 50(2), 121–132. https://doi.org/10.1080/09298215.2021.1907419
   Web of Science ®Google Scholar
• Leow, L.-A., Parrott, T., & Grahn, J. A. (2014). Individual differences in beat perception affect gait responses to low-and high-groove music. Frontiers in Human Neuroscience, 8, 811.
   PubMed Web of Science ®Google Scholar
• Loehr, J. D. (2022). The sense of agency in joint action: An integrative review. Psychonomic Bulletin & Review, 1–29.
   Web of Science ®Google Scholar
• Loveridge, B. (2020). Networked music performance in virtual reality: Current perspectives. Journal of Network Music and Arts, 2(1), 2.
   Google Scholar
• Lüdecke, D. (2017). sjPlot: Data visualization for statistics in social science. https://CRAN.R-project.org/package=sjPlot
   Google Scholar
• Metzinger, T. K. (2018). Why is virtual reality interesting for philosophers? Frontiers in Robotics and AI, 5, 101. https://doi.org/10.3389/frobt.2018.00101
   PubMedGoogle Scholar
• Milgram, P., & Kishino, F. (1994). Taxonomy of mixed reality visual displays. IEICE Transactions on Information and Systems, E77-D(12), 1321–1329.
   Google Scholar
• Milward, S. J., & Sebanz, N. (2016). Mechanisms and development of self–other distinction in dyads and groups. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1686), 20150076. https://doi.org/10.1098/rstb.2015.0076
   PubMed Web of Science ®Google Scholar
• Miura, A., Kudo, K., & Nakazawa, K. (2013). Action–perception coordination dynamics of whole-body rhythmic movement in stance: A comparison study of street dancers and non-dancers. Neuroscience Letters, 544, 157–162. https://doi.org/10.1016/j.neulet.2013.04.005
   PubMed Web of Science ®Google Scholar
• Miyata, K., Varlet, M., Miura, A., Kudo, K., & Keller, P. E. (2017). Modulation of individual auditory-motor coordination dynamics through interpersonal visual coupling. Scientific Reports, 7(1), 1–11. https://doi.org/10.1038/s41598-016-0028-x
   PubMedGoogle Scholar
• Møller, C., Stupacher, J., Celma-Miralles, A., & Vuust, P. (2021). Beat perception in polyrhythms: Time is structured in binary units. PLoS One, 16(8), e0252174. https://doi.org/10.1371/journal.pone.0252174
   PubMed Web of Science ®Google Scholar
• Moore, E., Schaefer, R. S., Bastin, M. E., Roberts, N., & Overy, K. (2017). Diffusion tensor MRI tractography reveals increased fractional anisotropy (FA) in arcuate fasciculus following music-cued motor training. Brain and Cognition, 116, 40–46. https://doi.org/10.1016/j.bandc.2017.05.001
   PubMed Web of Science ®Google Scholar
• Müllensiefen, D., Gingras, B., Musil, J., & Stewart, L. (2014). The musicality of non-musicians: An index for assessing musical sophistication in the general population. PLoS One, 9(2), e89642. https://doi.org/10.1371/journal.pone.0089642
   PubMed Web of Science ®Google Scholar
• Naveda, L., & Leman, M. (2010). The spatiotemporal representation of dance and music gestures using topological gesture analysis (TGA). Music Perception, 28(1), 93–111. https://doi.org/10.1525/mp.2010.28.1.93
   Web of Science ®Google Scholar
• Overy, K., & Molnar-Szakacs, I. (2009). Being together in time: Musical experience and the mirror neuron system. Music Perception, 26(5), 489–504. https://doi.org/10.1525/mp.2009.26.5.489
   Web of Science ®Google Scholar
• Pai, Y. S., Hajika, R., Gupta, K., Sasikumar, P., & Billinghurst, M. (2020). NeuralDrum: Perceiving brain synchronicity in XR drumming. In SIGGRAPH Asia 2020 Technical Communications (pp. 1–4). Publisher ACM.
   Google Scholar
• Palmer, C., Spidle, F., Koopmans, E., & Schubert, P. (2019). Ears, heads, and eyes: When singers synchronise. Quarterly Journal of Experimental Psychology, 72(9), 2272–2287. https://doi.org/10.1177/1747021819833968
   Web of Science ®Google Scholar
• Pan, X., & Hamilton, A. F. d. C. (2018). Why and how to use virtual reality to study human social interaction: The challenges of exploring a new research landscape. British Journal of Psychology, 109(3), 395–417. https://doi.org/10.1111/bjop.12290
   PubMed Web of Science ®Google Scholar
• Parsons, T. D., Gaggioli, A., & Riva, G. (2017). Virtual reality for research in social neuroscience. Brain Sciences, 7(4), 42. https://doi.org/10.3390/brainsci7040042
   PubMed Web of Science ®Google Scholar
• Petrini, K., Dahl, S., Rocchesso, D., Waadeland, C. H., Avanzini, F., Puce, A., & Pollick, F. E. (2009). Multisensory integration of drumming actions: Musical expertise affects perceived audiovisual asynchrony. Experimental Brain Research, 198(2-3), 339–352. https://doi.org/10.1007/s00221-009-1817-2
   PubMed Web of Science ®Google Scholar
• Powers, A. R., Hillock, A. R., & Wallace, M. T. (2009). Perceptual training narrows the temporal window of multisensory binding. The Journal of Neuroscience, 29(39), 12265–12274. https://doi.org/10.1523/JNEUROSCI.3501-09.2009
   PubMed Web of Science ®Google Scholar
• Repp, B. H. (2006). Musical synchronization. In Eckart Altenmuller, Mario Wiesendanger, & Jurg Kesselring (Eds.), Music, motor control, and the brain (pp. 55–76). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199298723.003.0004
   Google Scholar
• Repp, B. H., & Su, Y. H. (2013). Sensorimotor synchronization: A review of recent research (2006–2012). Psychonomic Bulletin & Review, 20(3), 403–452. https://doi.org/10.3758/s13423-012-0371-2
   PubMed Web of Science ®Google Scholar
• Richardson, M. J., Harrison, S. J., Kallen, R. W., Walton, A., Eiler, B. A., Saltzman, E., & Schmidt, R. C. (2015). Self-organized complementary joint action: Behavioral dynamics of an interpersonal collision-avoidance task. Journal of Experimental Psychology: Human Perception and Performance, 41(3), 665. https://doi.org/10.1037/xhp0000041
   PubMed Web of Science ®Google Scholar
• Rose, D., Ott, L., Guérin, S. M. R., Annett, L. E., Lovatt, P., & Delevoye-Turrell, Y. N. (2021). A general procedure to measure the pacing of body movements timed to music and metronome in younger and older adults. Scientific Reports, 11(1), 1–16. https://doi.org/10.1038/s41598-020-79139-8
   PubMed Web of Science ®Google Scholar
• Schlagowski, R., Gupta, K., Mertes, S., Billinghurst, M., Metzner, S., & André, E. (2022). Jamming in MR: Towards real-time music collaboration in mixed reality. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 854–855). IEEE. https://doi.org/10.1109/VRW55335.2022.00278
   Google Scholar
• Schultz, B. G., & Palmer, C. (2019). The roles of musical expertise and sensory feedback in beat keeping and joint action. Psychological Research, 83(3), 419–431. https://doi.org/10.1007/s00426-019-01156-8
   PubMed Web of Science ®Google Scholar
• Schwartz, J.-L., & Savariaux, C. (2014). No, there is no 150 ms lead of visual speech on auditory speech, but a range of audiovisual asynchronies varying from small audio lead to large audio lag. PLoS Computational Biology, 10(7), e1003743. https://doi.org/10.1371/journal.pcbi.1003743
   PubMed Web of Science ®Google Scholar
• Sebanz, N., & Knoblich, G. (2021). Progress in joint-action research. Current Directions in Psychological Science, 30(2), 138–143. https://doi.org/10.1177/0963721420984425
   Web of Science ®Google Scholar
• Senel, G., & Slater, M. (2020). Conversation with your future self about nicotine dependence. In Patrick Bourdot, Victoria Interrante, Regis Kopper, Anne-Hélène Olivier, Hideo Saito, & Gabriel Zachmann (Eds.), International Conference on Virtual Reality and Augmented Reality (pp. 216–223). Springer International Publishing: Springer. https://doi.org/10.1007/978-3-030-62655-6_14.
   Google Scholar
• Stupacher, J., Maes, P.-J., Witte, M., & Wood, G. (2017). Music strengthens prosocial effects of interpersonal synchronization – if you move in time with the beat. Journal of Experimental Social Psychology, 72, 39–44. https://doi.org/10.1016/j.jesp.2017.04.007
   Web of Science ®Google Scholar
• Tarr, B., Launay, J., & Dunbar, R. I. M. (2014). Music and social bonding: “Self-other” merging and neurohormonal mechanisms. Frontiers in Psychology, 5, 1096. https://doi.org/10.3389/fpsyg.2014.01096
   PubMed Web of Science ®Google Scholar
• Tarr, B., Slater, M., & Cohen, E. (2018). Synchrony and social connection in immersive virtual reality. Scientific Reports, 8(1), 1–8. https://doi.org/10.1038/s41598-018-21765-4
   PubMedGoogle Scholar
• Toiviainen, P., Luck, G., & Thompson, M. R. (2010). Embodied meter: Hierarchical eigenmodes in music-induced movement. Music Perception, 28(1), 59–70. https://doi.org/10.1525/mp.2010.28.1.59
   Web of Science ®Google Scholar
• Turchet, L., Garau, N., & Conci, N. (2022). Networked musical XR: Where’s the limit? A preliminary investigation on the joint use of point clouds and low-latency audio communication. In Proceedings of the 17th International Audio Mostly Conference (pp. 226–230). ACM. https://doi.org/10.1145/3561212.3561237
   Google Scholar
• Turchet, L., Hamilton, R., & Camci, A. (2021). Music in extended realities. IEEE Access, 9, 15810–15832. https://doi.org/10.1109/ACCESS.2021.3052931
   Web of Science ®Google Scholar
• Van Kerrebroeck, B., Caruso, G., & Maes, P.-J. (2021). A methodological framework for assessing social presence in music interactions in virtual reality. Frontiers in Psychology, 12, 663725. https://doi.org/10.3389/fpsyg.2021.663725
   PubMed Web of Science ®Google Scholar
• Van Noorden, L., & Moelants, D. (1999). Resonance in the perception of musical pulse. Journal of New Music Research, 28(1), 43–66. https://doi.org/10.1076/jnmr.28.1.43.3122
   Web of Science ®Google Scholar
• Vroomen, J., & Keetels, M. (2010). Perception of intersensory synchrony: A tutorial review. Attention, Perception, & Psychophysics, 72(4), 871–884. https://doi.org/10.3758/APP.72.4.871
   PubMed Web of Science ®Google Scholar
• Vuoskoski, J. K., Thompson, M. R., Spence, C., & Clarke, E. F. (2016). Interaction of sight and sound in the perception and experience of musical performance. Music Perception: An Interdisciplinary Journal, 33(4), 457–471. https://doi.org/10.1525/mp.2016.33.4.457
   Web of Science ®Google Scholar
• Walton, A. E., Washburn, A., Langland-Hassan, P., Chemero, A., Kloos, H., & Richardson, M. J. (2018). Creating time: Social collaboration in music improvisation. Topics in Cognitive Science, 10(1), 95–119. https://doi.org/10.1111/tops.12306
   PubMed Web of Science ®Google Scholar
• Warren, W. H. (2006). The dynamics of perception and action. Psychological Review, 113(2), 358–389. doi:10.1037/0033-295X.113.2.358
   PubMed Web of Science ®Google Scholar