AFFECTIVE EXPERIENCE OF MUSIC: EMOTIONAL AND COLOR PERCEPTION OF FOLK AND OTHER MUSICAL GENRES
ČUSTVENO IN BARVNO ZAZNAVANJE LJUDSKE GLASBE IN DRUGIH GLASBENIH ZVRSTI

Gregor Strle, Matevž Pesek, Matija Marolt

DOI: https://doi.org/10.3986/Traditio2018470204

Abstract

The article presents an experimental study of the emotional and color perception of music, focusing on folk music in comparison with other musical genres. The analysis showed that some musical emotions are conveyed differently between different genres. Overall, Folk genre had the most balanced distribution of the emotions used in the ratings, along with Pop and Rock. On the other hand, Punk and Metal had over 40% of their ratings represented by only two emotions, liveliness and anger. This is further reflected in the emotioncolor associations. The presented findings point to the genre specificity of musical emotions.

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Prispevek predstavlja eksperimentalno raziskavo čustvenega in barvnega zaznavanja glasbe, s poudarkom na primerjavi med ljudsko glasbo in drugimi glasbenimi zvrstmi (žanri). Analiza rezultatov je pokazala, da so ob poslušanju glasbe različnih glasbenih zvrsti čustvene zaznave pogosto različne. Najbolj uravnotežena in raznovrstna je porazdelitev čustev pri popu, rocku in ljudski glasbi, najmanj pa pri panku in metalu, pri katerih več kakor 40 % glasbenih primerov prevzemata le dve čustvi, to sta živahnost in jeza. Ugotovitve se izražajo tudi v čustveno-barvnih asociacijah. Rezultati kažejo na žanrsko specifičnost »glasbenih« čustev.

Keywords

emotions; colors; music; music genre; music perception // čustva; barve; glasba; glasbena zvrst; zaznavanje glasbe

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References

Adams, Francis M., and Charles E. Osgood. 1973. A Cross-Cultural Study of the Affective Meanings of Color. Journal of Cross-Cultural Psychology 4 (2): 135–156. DOI: https://doi.org/10.1177/002202217300400201

Aucouturier, Jean-Julien, and François Pachet. 2003. Representing Musical Genre: A State of the Art. Journal of New Music Research 32 (1): 83–93.

Eerola, Tuomas. 2011. Are the emotions expressed in music genre-specific?: An Audio-Based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres. Journal of New Music Research 40 (4): 349–366. DOI: https://doi.org/10.1080/09298215.2011.602195

Eerola, Tuomas. 2012. Modeling Listeners’ Emotional Response to Music. Topics in Cognitive Science 4: 607–624. DOI: https://doi.org/10.1111/j.1756-8765.2012.01188.x

Eerola, Tuomas. 2013. Modelling Emotional Effects of Music: Key Areas of Improvement. In: Proceedings of SMC 2013: 10th Sound and Music Computing Conference, July 30 - August 2, 2013, KTH Royal Institute of Technology, Stockholm, Sweden. Berlin: Logos Verlag, 269–276.

Eerola, Tuomas, and Jonna K. Vuoskoski. 2010. A Comparison of the Discrete and Dimensional Models of Emotion in Music. Psychology of Music 39 (1): 18–49. DOI: https://doi.org/10.1177/0305735610362821

Eerola, Tuomas, and Jonna K. Vuoskoski. 2013. A Review of Music and Emotion Studies: Approaches, Emotion Models, and Stimuli. Music Perception 30 (3): 307–340. DOI: https://doi.org/10.1525/mp.2012.30.3.307

Fairchild Ruggles, Dede, and Helaine Silverman (eds.). 2009. Intangible Heritage Embodied. Heidelberg: Springer.

Gabrielsson, Alf. 2002. Emotion Perceived and Emotion Felt: Same or Different? Musicae Scientiae 5 (1 suppl.): 123–147. DOI: https://doi.org/10.1177/10298649020050S105

Gingras, Bruno, Manuela M. Marin, and William Tecumseh Fitch. 2014. Beyond Intensity: Spectral Features Effectively Predict Music-Induced Subjective Arousal. Quarterly Journal of Experimental Psychology 67 (7): 1428–1446. DOI: https://doi.org/10.1080/17470218.2013.863954

Gjerdingen, Robert O., and David Perrott. 2008. Scanning the Dial: The Rapid Recognition of Music Genres. Journal of New Music Research 37 (2): 93–100. DOI: https://doi.org/10.1080/09298210802479268

Holm, Jukka, Antti Aaltonen, and Harri Siirtola. 2009. Associating Colours with Musical Genres. Journal of New Music Research 38 (1): 87–100. DOI: https://doi.org/10.1080/09298210902940094

Hu, Xiao, and John Stephen Downie. 2007. Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata. In: Simon Dixon, David Bainbridge, and Rainer Typke (eds.), Proceedings of the 8th International Conference on Music Information Retrieval. Vienna, Austria, September 23-27, 2007. Vienna: Austrian Computer Society, 67–72.

Isbilen, Erin S., and Carol Lynne Krumhansl. 2016. The Color of Music: Emotion-Mediated Associations to Bach’s Well-Tempered Clavier. Psychomusicology: Music, Mind, and Brain 26 (2): 149–161. DOI: https://doi.org/10.1037/pmu0000147

John, Oliver P., and Sanjay Srivastava. 1999. The Big Five Trait Taxonomy: History, Measurement, and Theoretical Perspectives. Handbook of Personality: Theory and Research 2: 102–138.

Juslin, Patrik N. 2013. What Does Music Express?: Basic Emotions and Beyond. Frontiers in Psychology 4: 1–14. DOI: https://doi.org/10.3389/fpsyg.2013.00596

Juslin, Patrik N., and Petri Laukka. 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. DOI: https://doi.org/10.1080/0929821042000317813

Juslin, Patrik N., and John A. Sloboda. 2001. Music and Emotion: Theory and Research. Oxford and New York: Oxford University Press.

Juslin, Patrik N., and Daniel Västfjäll. 2008. Emotional Responses to Music: The Need to Consider Underlying Mechanisms. Behavioral and Brain Sciences 31 (5): 559–575. DOI: https://doi.org/10.1017/S0140525X08005293

Koelsch, Stefan. 2010. Towards a Neural Basis of Music-Evoked Emotions. Trends in Cognitive Sciences 14 (3): 131–137. DOI: https://doi.org/10.1016/j.tics.2010.01.002

Lindborg, Per Magnus, and Anders K. Friberg. 2015. Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews. PLOS ONE 10 (12): 1–26. DOI: https://doi.org/10.1371/journal.pone.0144013

Logan, William, Máiréad Nic Craith, and Ullrich Kockel (eds.). 2015. A Companion to Heritage Studies. Malden, MA: Wiley-Blackwell.

Ou, Li-Chen et al. 2004. A Study of Colour Emotion and Colour Preference: Part I: Colour Emotions for Single Colours. Color Research & Application 29 (3): 232–240. DOI: https://doi.org/10.1002/col.20010

Palmer, Stephen E., Thomas A. Langlois, and Karen B. Schloss. 2016. Music-To-Color Associations of Single-Line Piano Melodies in Non- Synesthetes. Multisensory Research 29 (1–3): 157–193. DOI: https://doi.org/10.1163/22134808-00002486

Palmer, Stephen E., Thomas A. Langlois, Karen B. Schloss, and Daniel J. Levitin. 2011. Color, Music, and Emotion. Journal of Vision 11 (11): 391. DOI: https://doi.org/10.1167/11.11.391

Palmer, Stephen E., Karen B. Schloss, Zoe Xu, and Lilia R. Prado-León. 2013. Mucis-Color Associations are Mediated by Emotion. Proceedings of the National Academy of Sciences USA 110 (22): 8836–8841. DOI: https://doi.org/10.1073/pnas.1212562110

Pearce, Marcus, and Martin Rohrmeier. 2012. Music Cognition and the Cognitive Sciences. Topics in Cognitive Science 4 (4): 468–484. DOI: https://doi.org/10.1111/j.1756-8765.2012.01226.x

Pesek, Matevž, Gregor Strle, Alenka Kavčič, and Matija Marolt. 2017. The Moodo Dataset: Integrating User Context with Emotional and Color Perception of Music for Affective Music Information Retrieval. Journal of New Music Research 46 (3): 246–260. DOI: https://doi.org/10.1080/09298215.2017.1333518

Rentfrow, Peter J., Lewis R. Goldberg, and Daniel J. Levitin. 2011. The Structure of Musical Preferences: A Five-Factor model. Journal of Personality and Social Psychology 100 (6): 1139–1157. DOI: https://doi.org/10.1037/a0022406

Rentfrow, Peter J., and Samuel D. Gosling. 2003. The Do Re Mi’s of Everyday Life: The Structure and Personality Correlates of Music Preferences. Journal of Personality and Social Psychology 84 (6): 1236–1256.

Schubert, Emery. 2013. Emotion Felt by the Listener and Expressed by the Music: Literature Review and Theoretical Perspectives. Frontiers in Psychology 4 (December): 1–18. DOI: https://doi.org/10.3389/fpsyg.2013.00837

Smith, Laurajane. 2006. Uses of Heritage. London: Routledge.

Stalinski, Stephanie M., and Glenn E. Schellenberg. 2012. Music Cognition: A Developmental Perspective. Topics in Cognitive Science 4 (4): 485–497. DOI: https://doi.org/10.1111/j.1756-8765.2012.01217.x

Stevens, Catherine J. 2012. Music Perception and Cognition: A Review of Recent Cross-Cultural Research. Topics in Cognitive Science 4 : 653–667. DOI: https://doi.org/10.1111/j.1756-8765.2012.01215.x

Tirovolas, Anna K., and Daniel J. Levitin. 2011. Music Perception and Cognition Research from 1983 to 2010: A Categorical and Bibliometric Analysis of Empirical Articles in Music Perception. Music Perception: An Interdisciplinary Journal 29 (1): 23–36. DOI: https://doi.org/10.1525/mp.2011.29.1.23

Vuoskoski, Jonna K., and Tuomas Eerola. 2011. The Role of Mood and Personality in the Perception of Emotions Represented by Music. Cortex 47 (9): 1099–1106. DOI: https://doi.org/10.1016/j.cortex.2011.04.011

Vuoskoski, Jonna K. et al. 2012. Who Enjoys Listening to Sad Music and Why? Music Perception: An Interdisciplinary Journal 29 (3): 311–317. DOI: https://doi.org/10.1525/mp.2012.29.3.311

Zentner, Marcel, Didier Grandjean, and Klaus R. Scherer. 2008. Emotions Evoked by the Sound of Music: Characterization, Classification, and Measurement. Emotion 8 (4): 494–521. DOI: https://doi.org/10.1037/1528-3542.8.4.494

Zunshine, Lisa. 2010. Introduction to Cognitive Cultural Studies. Baltimore: Johns Hopkins University Press.

Zwaag, Marjolein D. van der, Joyce H. D. M. Westerink, and Egon L. van den Broek. 2011. Emotional and Psychophysiological Responses to Tempo, Mode, and Percussiveness. Musicae Scientiae 15 (2): 250–269. DOI: https://doi.org/10.1177/102986491101500207



DOI: https://doi.org/10.3986/Traditio2018470204

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