Acquiring musical knowledge increases music liking: Evidence from a neurophysiological study

Abstract

People possessing musical knowledge tend to enjoy music more, but the linkage remains to be determined. Based on the shared affective motion experience model for music appreciation, we hypothesized that acquiring musical knowledge about the music itself, for example, an analytical understanding of music elements and the related emotional expressions, would increase music liking. To test the hypothesis, we asked 48 participants to learn analytical or historical information about a piece of music by watching a pre-recorded teaching video. Learners’ physiological responses, such as skin conductance and heart rate, were recorded during learning. The increase of music liking was observed after both types of knowledge acquisition, but more so for analytical knowledge. Notably, acquiring analytical knowledge made learners’ skin conductance more similar, indicating the alignment of physiological responses. This physiological similarity, correlated with analytical knowledge similarity, could mediate the effect of knowledge acquisition on music liking. In sum, this study reveals the impact of analytical knowledge on music enjoyment and the associated neurophysiological mechanism. It extends the theoretical framework of shared affective motion experience to explain how musical knowledge influences music appreciation.

Keywords

knowledge similarity / music liking / musical knowledge / physiological similarity / skin conductance

References

[1] Abney, D. H., daSilva, E. B., & Bertenthal, B. I. (2021). Associations between infant–mother physiological synchrony and 4-and 6-month-old infants’ emotion regulation. Developmental Psychobiology, 63(6), e22161.

[2] Ackermann, T. I., & Merrill, J. (2022). Rationales and functions of disliked music: An in-depth interview study. PLoS One, 17(2), e0263384.

[3] Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty. Psychological Science, 28(11), 1547–1562.

[4] Anglada-Tort, M., Keller, S., Steffens, J., & Müllensiefen, D. (2021). The impact of source effects on the evaluation of music for advertising: Are there differences in how advertising professionals and consumers judge music? Journal of Advertising Research, 61(1), 95–109.

[5] Anglada-Tort, M., & Müllensiefen, D. (2017). The repeated recording illusion: The effects of extrinsic and individual difference factors on musical judgments. Music Perception, 35(1), 94–117.

[6] Anglada-Tort, M., Steffens, J., & Müllensiefen, D. (2019). Names and titles matter: The impact of linguistic fluency and the affect heuristic on aesthetic and value judgements of music. Psychology of Aesthetics, Creativity, and the Arts, 13(3), 277–292.

[7] Aydogan, G., Flaig, N., Ravi, S. N., Large, E. W., McClure, S. M., & Margulis, E. H. (2018). Overcoming bias: Cognitive control reduces susceptibility to framing effects in evaluating musical performance. Scientific Reports, 8(1), 6229.

[8] Behrens, F., Snijdewint, J. A., Moulder, R. G., Prochazkova, E., Sjak-Shie, E. E., Boker, S. M., & Kret, M. E. (2020). Physiological synchrony is associated with cooperative success in real-life interactions. Scientific Reports, 10(1), 19609.

[9] Berntson, G. G., Quigley, K. S., Jang, J. F., & Boysen, S. T. (1990). An approach to artifact identification: Application to heart period data. Psychophysiology, 27(5), 586–598.

[10] Blood, A. J., & Zatorre, R. J. (2001). Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proceedings of the National Academy of Sciences of the United States of America, 98(20), 11818–11823.

[11] Botvinick, M., Jha, A. P., Bylsma, L. M., Fabian, S. A., Solomon, P. E., & Prkachin, K. M. (2005). Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain. NeuroImage, 25(1), 312–319.

[12] Bracken, B. K., Alexander, V., Zak, P. J., Romero, V., & Barraza, J. A. (2014). Physiological synchronization is associated with narrative emotionality and subsequent behavioral response. In D. D. Schmorrow & C. M. Fidopiastis (Eds.), Foundations of augmented cognition. Advancing human performance and decision-making through adaptive systems. Springer.

[13] Budell, L., Jackson, P., & Rainville, P. (2010). Brain responses to facial expressions of pain: Emotional or motor mirroring? NeuroImage, 53(1), 355–363.

[14] Chabin, T., Gabriel, D., Comte, A., Haffen, E., Moulin, T., & Pazart, L. (2022). Interbrain emotional connection during music performances is driven by physical proximity and individual traits. Annals of the New York Academy of Sciences, 1508(1), 178–195.

[15] Chapman, A. (1978). A theory of harmonic structures for non-tonal music (Doctoral dissertation). Yale University.

[16] Christenson, P. G., & Peterson, J. B. (1988). Genre and gender in the structure of music preferences. Communication Research, 15(3), 282–301.

[17] Coffman, D. D., Gfeller, K., & Eckert, M. (1995). Effect of textual setting, training, and gender on emotional response to verbal and musical information. Psychomusicology, 14(1–2), 117–136.

[18] Colley, A. (2008). Young people’s musical taste: Relationship with gender and gender-related traits. Journal of Applied Social Psychology, 38(8), 2039–2055.

[19] Colver, M. C., & El-Alayli, A. (2016). Getting aesthetic chills from music: The connection between openness to experience and frisson. Psychology of Music, 44(3), 413–427.

[20] Czepiel, A., Fink, L. K., Fink, L. T., Wald-Fuhrmann, M., Tröndle, M., & Merrill, J. (2021). Synchrony in the periphery: Inter-subject correlation of physiological responses during live music concerts. Scientific Reports, 11(1), 22457.

[21] Davis, M. H. (1980). A multidimensional approach to individual differences in empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85–103.

[22] de Waal, F. B. M., & Preston, S. D. (2017). Mammalian empathy: Behavioural manifestations and neural basis. Nature Reviews Neuroscience, 18(8), 498–509.

[23] Diaz, F. M. (2015). Listening and musical engagement: An exploration of the effects of different listening strategies on attention, emotion, and peak affective experiences. Update: Applications of Research in Music Education, 33(2), 27–33.

[24] Diedenhofen, B., & Musch, J. (2015). cocor: A comprehensive solution for the statistical comparison of correlations. PLoS ONE, 10(4), e0121945.

[25] Eisenbarth, H., Chang, L. J., & Wager, T. D. (2016). Multivariate brain prediction of heart rate and skin conductance responses to social threat. Journal of Neuroscience, 36(47), 11987–11998.

[26] Elfenbein, H. A., & Ambady, N. (2002). On the universality and cultural specificity of emotion recognition: A meta-analysis. Psychological Bulletin, 128(2), 203–235.

[27] Elfenbein, H. A., & Ambady, N. (2003). When familiarity breeds accuracy: Cultural exposure and facial emotion recognition. Journal of Personality and Social Psychology, 85(2), 276–290.

[28] Gabrielsson, A., & Juslin, P. N. (1996). Emotional expression in music performance: Between the performer’s intention and the listener’s experience. Psychology of Music, 24(1), 68–91.

[29] Gashi, S., Lascio, E. D., & Santini, S. (2018). Using students’ physiological synchrony to quantify the classroom emotional climate. In Proceedings of the 2018 ACM international joint conference and 2018 international symposium on pervasive and ubiquitous computing and wearable computers (pp. 698–701). Association for Computing Machinery.

[30] Gioia, T. (2021). The history of jazz (3rd ed.). Oxford University Press.

[31] Golland, Y., Arzouan, Y., & Levit-Binnun, N. (2015). The mere co-presence: Synchronization of autonomic signals and emotional responses across co-present individuals not engaged in direct interaction. PLoS ONE, 10(5), e0125804.

[32] Golland, Y., Keissar, K., & Levit-Binnun, N. (2014). Studying the dynamics of autonomic activity during emotional experience. Psychophysiology, 51(11), 1101–1111.

[33] Gordon, P. C., & Holyoak, K. J. (1983). Implicit learning and generalization of the “mere exposure” effect. Journal of Personality and Social Psychology, 45(3), 492–500.

[34] Halpern, J. (1992). Effects of historical and analytical teaching approaches on music appreciation. Journal of Research in Music Education, 40(1), 39–46.

[35] Han, J., Kamber, M., & Pei, J. (2011). Data mining: Concepts and techniques. Elsevier.

[36] Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.

[37] Hoehl, S., Fairhurst, M., & Schirmer, A. (2021). Interactional synchrony: Signals, mechanisms and benefits. Social Cognitive and Affective Neuroscience, 16(1–2), 5–18.

[38] Hou, Y., Song, B., Hu, Y., Pan, Y., & Hu, Y. (2020). The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance. NeuroImage, 211, 116655.

[39] Hove, M. J., & Risen, J. L. (2009). It’s all in the timing: Interpersonal synchrony increases affiliation. Social Cognitive and Affective Neuroscience, 27(6), 949–960.

[40] Jeffreys, H. (1961). Theory of probability (3rd ed.). Oxford University Press.

[41] Juslin, P. N. (2000). Cue utilization in communication of emotion in music performance: Relating performance to perception. Journal of Experimental Psychology: Human Perception and Performance, 26(6), 1797–1813.

[42] Juslin, P. N. (2013a). From everyday emotions to aesthetic emotions: Towards a unified theory of musical emotions. Physics of Life Reviews, 10(3), 235–266.

[43] Juslin, P. N. (2013b). What does music express? Basic emotions and beyond. Frontiers in Psychology, 4, 596.

[44] Juslin, P. N., & Laukka, P. (2003). Communication of emotions in vocal expression and music performance: Different channels, same code? Psychological Bulletin, 129, 770–814.

[45] Juslin, P. N., & Laukka, P. (2004). Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening. Journal of New Music Research, 33(3), 217–238.

[46] Juslin, P. N., & Sloboda, J. (2011). Handbook of music and emotion: Theory, research, applications. Oxford University Press.

[47] Kamenetsky, S. B., Hill, D. S., & Trehub, S. E. (1997). Effect of tempo and dynamics on the perception of emotion in music. Psychology of Music, 25(2), 149–160.

[48] Kaminski, J. A., & Sloutsky, V. M. (2013). Extraneous perceptual information interferes with children’s acquisition of mathematical knowledge. Journal of Educational Psychology, 105(2), 351–363.

[49] Kaufmann, T., Sütterlin, S., Schulz, S. M., & Vögele, C. (2011). ARTiiFACT: A tool for heart rate artifact processing and heart rate variability analysis. Behavior Research Methods, 43(4), 1161–1170.

[50] Kirsch, L. P., Urgesi, C., & Cross, E. S. (2016). Shaping and reshaping the aesthetic brain: Emerging perspectives on the neurobiology of embodied aesthetics. Neuroscience & Biobehavioral Reviews, 62, 56–68.

[51] Kroger, C., & Margulis, E. H. (2017). “But they told me it was professional”: Extrinsic factors in the evaluation of musical performance. Psychology of Music, 45(1), 49–64.

[52] Larson, P. (1971). The effect of musical and extramusical information upon musical preference. Journal of Research in Music Education, 19(3), 350–354.

[53] Laukka, P., Eerola, T., Thingujam, N. S., Yamasaki, T., & Beller, G. (2013). Universal and culture-specific factors in the recognition and performance of musical affect expressions. Emotion, 13(3), 434–449.

[54] Laukka, P., Elfenbein, H. A., Thingujam, N. S., Rockstuhl, T., Iraki, F. K., Chui, W., & Althoff, J. (2016). The expression and recognition of emotions in the voice across five nations: A lens model analysis based on acoustic features. Journal of Personality and Social Psychology, 111(5), 686–705.

[55] Leder, H., Belke, B., Oeberst, A., & Augustin, D. (2004). A model of aesthetic appreciation and aesthetic judgments. British Journal of Psychology, 95(4), 489–508.

[56] Leeuwis, N., Pistone, D., Flick, N., & van Bommel, T. (2021). A sound prediction: EEG-based neural synchrony predicts online music streams. Frontiers in Psychology, 12, 672980.

[57] Lingham, J., & Theorell, T. (2009). Self-selected “favourite” stimulative and sedative music listening—how does familiar and preferred music listening affect the body? Nordic Journal of Music Therapy, 18(2), 150–166.

[58] Lockwood, L. (2015). Beethoven’s symphonies: An artistic vision. W. W. Norton.

[59] Lumsden, J., Miles, L. K., & Macrae, C. N. (2014). Sync or sink? Interpersonal synchrony impacts self-esteem. Frontiers in Psychology, 5, 1064.

[60] MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614.

[61] Maclure, M. (1991). The case-crossover design: A method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2), 144–153.

[62] Madison, G., & Schiölde, G. (2017). Repeated listening increases the liking for music regardless of its complexity: Implications for the appreciation and aesthetics of music. Frontiers in Neuroscience, 11, 147.

[63] Madsen, C. K. (1999). Research in music behavior. Journal of Aesthetic Education, 33(4), 77–92.

[64] Mandell, J., Schulze, K., & Schlaug, G. (2007). Congenital amusia: An auditory-motor feedback disorder? Restorative Neurology and Neuroscience, 25(3–4), 323–334.

[65] Marci, C. D., Ham, J., Moran, E., & Orr, S. P. (2007). Physiologic correlates of perceived therapist empathy and social-emotional process during psychotherapy. Journal of Nervous and Mental Disease, 195(2), 103–111.

[66] Marsden, A. (2010). Schenkerian analysis by computer: A proof of concept. Journal of New Music Research, 39(3), 269–289.

[67] Martinez-Molina, N., Mas-Herrero, E., Rodriguez-Fornells, A., Zatorre, R. J., & Marco-Pallares, J. (2016). Neural correlates of specific musical anhedonia. Proceedings of the National Academy of Sciences of the United States of America, 113(46), E7337–E7345.

[68] Mas-Herrero, E., Zatorre, R. J., Rodriguez-Fornells, A., & Marco-Pallarés, J. (2014). Dissociation between musical and monetary reward responses in specific musical anhedonia. Current Biology, 24(6), 699–704.

[69] Miles, L. K., Nind, L. K., & Macrae, C. N. (2009). The rhythm of rapport: Interpersonal synchrony and social perception. Journal of Experimental Social Psychology, 45(3), 585–589.

[70] Millis, K. (2001). Making meaning brings pleasure: The influence of titles on aesthetic experiences. Emotion, 1(3), 320–329.

[71] Mills, E. J., Chan, A.-W., Wu, P., Vail, A., Guyatt, G. H., & Altman, D. G. (2009). Design, analysis, and presentation of crossover trials. Trials, 10(1), 27.

[72] Molnar-Szakacs, I., Wang, M. J., Laugeson, E. A., Overy, K., Wu, W. L., & Piggot, J. (2009). Autism, emotion recognition and the mirror neuron system: The case of music. McGill Journal of Medicine, 12(2), 87–98.

[73] Muszynski, M., Kostoulas, T., Lombardo, P., Pun, T., & Chanel, G. (2016). Synchronization among groups of spectators for highlight detection in movies. In Proceedings of the 24th ACM international conference on multimedia (pp. 292–296). Association for Computing Machinery.

[74] Muszynski, M., Kostoulas, T., Lombardo, P., Pun, T., & Chanel, G. (2018). Aesthetic highlight detection in movies based on synchronization of spectators’ reactions. ACM Transactions on Multimedia Computing Communications and Applications, 14, 1–23.

[75] Overy, K., & Molnar-Szakacs, I. (2009). Being together in time: Musical experience and the mirror neuron system. Music Perception, 26(5), 489–504.

[76] Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1–4.

[77] Pan, Y., Cheng, X., & Hu, Y. (2023). Three heads are better than one: Cooperative learning brains wire together when a consensus is reached. Cerebral Cortex, 33(4), 1155–1169.

[78] Panksepp, J. (1995). The emotional sources of “chills” induced by music. Music Perception, 13(2), 171–207.

[79] Peretz, I., Gaudreau, D., & Bonnel, A.-M. (1998). Exposure effects on music preference and recognition. Memory & Cognition, 26(5), 884–902.

[80] Pratt, M., Singer, M., Kanat-Maymon, Y., & Feldman, R. (2015). Infant negative reactivity defines the effects of parent–child synchrony on physiological and behavioral regulation of social stress. Development and Psychopathology, 27(4 pt 1), 1191–1204.

[81] Price, H. E., & Swanson, P. (1990). Changes in musical attitudes, opinions, and knowledge of music appreciation students. Journal of Research in Music Education, 38(1), 39–48.

[82] Prochazkova, E., & Kret, M. E. (2017). Connecting minds and sharing emotions through mimicry: A neurocognitive model of emotional contagion. Neuroscience & Biobehavioral Reviews, 80, 99–114.

[83] Prochazkova, E., Prochazkova, L., Giffin, M. R., Scholte, H. S., De Dreu, C. K. W., & Kret, M. E. (2018). Pupil mimicry promotes trust through the theory-of-mind network. Proceedings of the National Academy of Sciences of the United States of America, 115(31), E7265–E7274.

[84] Reimer, B. (2003). A philosophy of music education: Advancing the vision (3rd ed.). Prentice Hall.

[85] Russell, P. A. (2003). Effort after meaning and the hedonic value of paintings. British Journal of Psychology, 94(1), 99–110.

[86] Salimpoor, V. N., Benovoy, M., Longo, G., Cooperstock, J. R., & Zatorre, R. J. (2009). The rewarding aspects of music listening are related to degree of emotional arousal. PLoS ONE, 4(10), e7487.

[87] Schafer, T., Sedlmeier, P., Stadtler, C., & Huron, D. (2013). The psychological functions of music listening. Frontiers in Psychology, 4, 511.

[88] Schwartz, K. D., & Fouts, G. T. (2003). Music preferences, personality style, and developmental issues of adolescents. Journal of Youth and Adolescence, 32(3), 205–213.

[89] Smith, J. C., & Joyce, C. A. (2004). Mozart versus new age music: Relaxation states, stress, and ABC relaxation theory. Journal of Music Therapy, 41(3), 215–224.

[90] Soley, G., & Hannon, E. E. (2010). Infants prefer the musical meter of their own culture: A cross-cultural comparison. Developmental Psychology, 46, 286–292.

[91] Stuldreher, I. V., Thammasan, N., van Erp, J. B. F., & Brouwer, A.-M. (2020). Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention. Journal of Neural Engineering, 17(4), 046028.

[92] Temme, J. E. V. (1992). Amount and kind of information in museums: Its effects on visitors satisfaction and appreciation of art. Visual Arts Research, 18(2), 28–36.

[93] Terry, P. C., Karageorghis, C. I., Curran, M. L., Martin, O. V., & Parsons-Smith, R. L. (2020). Effects of music in exercise and sport: A meta-analytic review. Psychological Bulletin, 146(2), 91–117.

[94] Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Doyne Farmer, J. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D: Nonlinear Phenomena, 58(1), 77–94.

[95] Thompson, W. F., Bullot, N. J., & Margulis, E. H. (2023). The psychological basis of music appreciation: Structure, self, source. Psychological Review, 130(1), 260–284.

[96] Tschacher, W., Greenwood, S., Egermann, H., Wald-Fuhrmann, M., Czepiel, A., Tröndle, M., & Meier, D. (2023). Physiological synchrony in audiences of live concerts. Psychology of Aesthetics, Creativity, and the Arts, 17(2), 152–162.

[97] Vaughan, K. B., & Lanzetta, J. T. (1981). The effect of modification of expressive displays on vicarious emotional arousal. Journal of Experimental Social Psychology, 17(1), 16–30.

[98] Verschuere, B., Lin, C. C., Huismann, S., Kleinberg, B., Willemse, M., Mei, E. C. J., van Goor, T., Löwy, L. H. S., Appiah, O. K., & Meijer, E. (2023). The use-the-best heuristic facilitates deception detection. Nature Human Behaviour, 7(5), 718–728.

[99] von Zimmermann, J., & Richardson, D. C. (2016). Verbal synchrony and action dynamics in large groups. Frontiers in Psychology, 7, 2034.

[100] Williamson-Urbis, S. Z. (1995). The effect of two methods of music instruction on the degree of liking and musical knowledge on non-music majors enrolled in music appreciation classes (Doctoral dissertation). The University of Arizona.

[101] Woody, R. H., & Burns, K. J. (2001). Predicting music appreciation with past emotional responses to music. Journal of Research in Music Education, 49(1), 57–70.

[102] Zalanowski, A. H. (1986). The effects of listening instructions and cognitive style on music appreciation. Journal of Research in Music Education, 34(1), 43–53.

[103] Zhang, J., Wang, K., & Zhang, Y. (2021). Physiological characterization of student engagement in the naturalistic classroom: A mixed-methods approach. Mind, Brain, and Education, 15(4), 322–343.

[104] Zhu, Y., Leong, V., Hou, Y., Zhang, D., Pan, Y., & Hu, Y. (2022). Instructor–learner neural synchronization during elaborated feedback predicts learning transfer. Journal of Educational Psychology, 114(6), 1427–1441.

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