Abstract
Music has strong potential to convey and elicit emotions, which are dependent on both context and antecedent stimuli. However, there is little research available on the impact of antecedent musical stimuli on emotion perception in consequent musical pieces, when one listens to a sequence of music clips with insignificant time lag. This work attempts to (a) understand how the perception of one music clip is affected by the perception of its antecedent clip and (b) find if there are any inherent patterns in the way people respond when exposed to music in sequence, with special reference to Hindustani Classical Music (HCM). We call this phenomenon of varying perceptions, the perceptual contagion of emotion in music. Findings suggest, when happy clips are preceded by sad and calm clips, perceived happiness increases. When sad clips are preceded by happy and calm clips, perceived sadness increases. Calm clips are perceived as happy and sad when preceded by happy clips and sad clips respectively. This suggests that antecedent musical stimuli have capacity to influence the perception of music that follows. It is also found that almost 85%–95% of people on average are affected by perceptual contagion – while listening to music in sequence – with varying degrees of influence.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bharatmuni: Natyasastra of Bharata, Chapter 6
Berkowitz, L.: On the formation and regulation of anger and aggresion. A cognitive-neoassociationistic analysis. Am. Psychologist. 45(4), 494–503 (1990)
Chordia, P., Rae, A.: Raag recognition using pitch-class and pitch-class dyad distributions. In: ISMIR, pp. 431–436, September 2007
Egermann, H., McAdams, S.: Empathy and emotional contagion as a link between recognized and felt emotions in music listening. Music Percept. Interdisc. J. 31(2), 139–156 (2013)
Ekman, P.: An argument for basic emotions. Cogn. Emot. 6(3–4), 169–200 (1992)
Frijda, N.H.: The Emotions. Cambridge University Press, New York (1986)
Juslin, P.N., Sloboda, J.A.: Music and emotion. Psychol. Music 3, 583–645 (2001)
Juslin, P.N.: From mimesis to catharsis: expression, perception, and induction of emotion in music. Musical Commun. 85–115 (2005)
Juslin, P.N.: From everyday emotions to aesthetic emotions: towards a unified theory of musical emotions. Phys. Life Rev. 10(3), 235–266 (2013)
Keltner, D., Buswell, B.N.: Embarrassment: its distinct form and appeasement functions. Psychol. Bull. 122(3), 250–270 (1997)
Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129–137 (1982)
MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, no. 14 (1967)
Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)
Schmidt, E.M., Turnbull, D., Kim, Y.E.: Feature selection for content-based, time-varying musical emotion regression. In: Proceedings of the International Conference on Multimedia Information Retrieval, pp. 267–274. ACM, March 2010
Schubert, E., Ferguson, S., Farrar, N., Taylor, D., Mcpherson, G.E.: Continuous response to music using discrete emotion faces. In: Proceedings of CMMR (2012)
Schubert, E., Ferguson, S., Farrar, N., Taylor, D., McPherson, G.E.: The six emotion-face clock as a tool for continuously rating discrete emotional responses to music. In: Aramaki, M., Barthet, M., Kronland-Martinet, R., Ystad, S. (eds.) CMMR 2012. LNCS, vol. 7900, pp. 1–18. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41248-6_1
Schubert, E.: Continuous self-report methods (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Chaki, S., Bhattacharya, S., Mullick, R., Patnaik, P. (2018). Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music. In: Aramaki, M., Davies , M., Kronland-Martinet, R., Ystad, S. (eds) Music Technology with Swing. CMMR 2017. Lecture Notes in Computer Science(), vol 11265. Springer, Cham. https://doi.org/10.1007/978-3-030-01692-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-01692-0_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01691-3
Online ISBN: 978-3-030-01692-0
eBook Packages: Computer ScienceComputer Science (R0)