The Influence of Listener Personality on Music Choices

Authors

  • Mariusz Kleć Polish-Japanese Academy of Information Technology

DOI:

https://doi.org/10.7494/csci.2017.18.2.163

Keywords:

music recommendation, listener personality

Abstract

To deliver better recommendations, music information systems need to go beyond
standard methods for musical taste prediction. Tracking the listener’s
emotions is one way to improve the quality of recommendations. This can be
achieved explicitly, by asking the listener to report his/her emotional state, or
implicitly, by tracking the context in which the music is heard. However, the
factors that induce particular emotions vary among individuals. This paper
presents initial research on the influence of an individual’s personality on his
or her choice of music. The psychological profile of a group of 16 students was
determined by a questionnaire. The participants were asked to label their own
music collections, listen to the music, and mark their emotions using a custom
application. Statistical analysis revealed correlations between low-level audio
features, personality types, and emotional states of the students.

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References

Chamorro-Premuzic T., Furnham A.: Personality and music: can traits explain how people use music in everyday life? In: British Journal of Psychology, vol. 98(2), pp. 175–185, 2007.

DeNora T.: Music in everyday life. Cambridge University Press, 2000.

Dunn P.G., de Ruyter B., Bouwhuis D.G.: Toward a better understanding of the relation between music preference, listening behavior, and personality. In: Psychology of Music, p. 0305735610388897, 2011. 8 http://ipip.ori.org/

Eerola T., Lartillot O., Toiviainen P.: Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models. In: ISMIR, pp. 621–626. 2009.

Furnham A., Strbac L.: Music is as distracting as noise: the differential distraction of background music and noise on the cognitive test performance of introverts and extraverts. In: Ergonomics, vol. 45(3), pp. 203–217, 2002.

Han B.j., Ho S., Dannenberg R.B., Hwang E.: Smers: Music emotion recognition using support vector regression. In: , 2009.

Hu X., Downie J.S.: Improving mood classification in music digital libraries by combining lyrics and audio. In: Proceedings of the 10th annual joint conference on Digital libraries, pp. 159–168. ACM, 2010.

Izard C.E.: Basic emotions, natural kinds, emotion schemas, and a new paradigm. In: Perspectives on psychological science, vol. 2(3), pp. 260–280, 2007.

Jung C.G.: Psychological types. Routledge, 2014.

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

Juslin P.N., Sloboda J.: Handbook of music and emotion: Theory, research, applications. OUP Oxford, 2011.

Juslin P.N., Sloboda J.A.: Music and emotion: Theory and research. Oxford University Press, 2001.

Knight W.E., Rickard N.S.: Relaxing music prevents stress-induced increases in subjective anxiety, systolic blood pressure, and heart rate in healthy males and females. In: Journal of music therapy, vol. 38(4), pp. 254–272, 2001.

Lane A.M., Terry P.C.: The nature of mood: Development of a conceptual model with a focus on depression. In: Journal of Applied Sport Psychology, vol. 12(1), pp. 16–33, 2000.

Lartillot O., Toiviainen P., Eerola T.: A matlab toolbox for music information retrieval. In: Data analysis, machine learning and applications, pp. 261–268. Springer, 2008.

Lesiuk T.: The effect of music listening on work performance. In: Psychology of music, vol. 33(2), pp. 173–191, 2005.

Matthews G., Deary I.J., Whiteman M.C.: Personality traits. Cambridge University Press, 2003.

Meyer L.: Emotion and meaning in musicUniversity of Chicago Press. In: Chicago, IL, 1956.

Myers I., Myers P.: Gifts differing: Understanding personality type. Nicholas Brealey Publishing, 2010.

North A.C., Hargreaves D.J.: Situational influences on reported musical preference. In: Psychomusicology: A Journal of Research in Music Cognition, vol. 15(12), p. 30, 1996.

Oliver N., Kreger-Stickles L.: PAPA: Physiology and Purpose-Aware Automatic Playlist Generation. In: ISMIR, vol. 2006, p. 7th. 2006.

Park H.S., Yoo J.O., Cho S.B.: A context-aware music recommendation system using fuzzy bayesian networks with utility theory. In: Fuzzy systems and knowledge discovery, pp. 970–979. Springer, 2006.

Parkinson B.: Changing moods: The psychology of mood and mood regulation. Addison-Wesley Longman Limited, 1996.

Reddy S., Mascia J.: Lifetrak: music in tune with your life. In: Proceedings of the 1st ACM international workshop on Human-centered multimedia, pp. 25–34. ACM, 2006.

Rentfrow P.J., Gosling S.D.: The do re mi’s of everyday life: the structure and personality correlates of music preferences. In: Journal of personality and social psychology, vol. 84(6), p. 1236, 2003.

Russell J.A.: A circumplex model of affect. In: Journal of personality and social psychology, vol. 39(6), p. 1161, 1980.

Sloboda J.A., Juslin P.N.: At the interface between the inner and outer world. In: Handbook of music and emotion, pp. 73–97, 2010.

Soto C.J., John O.P.: Ten facet scales for the Big Five Inventory: Convergence with NEO PI-R facets, self-peer agreement, and discriminant validity. In: Journal of Research in Personality, vol. 43(1), pp. 84–90, 2009.

Strus W., Cieciuch J., Rowiński T.: Circumplex structure of personality traits measured with the IPIP-45AB5C questionnaire in Poland. In: Personality and Individual Differences, vol. 71, pp. 77–82, 2014.

Su J.H., Yeh H.H., Yu P.S., Tseng V.S.: Music recommendation using content and context information mining. In: Intelligent Systems, IEEE, vol. 25(1), pp. 16–26, 2010.

Thayer R.E.: The biopsychology of mood and arousal. Oxford University Press, 1989.

Wieczorkowska A., Synak P., Lewis R., Raś Z.W.: Extracting emotions from music data. In: Foundations of Intelligent Systems, pp. 456–465. Springer, 2005.

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Published

2017-06-23

How to Cite

Kleć, M. (2017). The Influence of Listener Personality on Music Choices. Computer Science, 18(2), 163. https://doi.org/10.7494/csci.2017.18.2.163

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