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Emotion-Based Matching of Music to Places

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Book cover Emotions and Personality in Personalized Services

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Music and places can both trigger emotional responses in people. This chapter presents a technical approach that exploits the congruence of emotions raised by music and places to identify music tracks that match a place of interest (POI). Such technique can be used in location-aware music recommendation services. For instance, a mobile city guide may play music related to the place visited by a tourist, or an in-car navigation system may adapt music to places the car is passing by. We address the problem of matching music to places by employing a controlled vocabulary of emotion labels. We hypothesize that the commonality of these emotions could provide, among other approaches, the base for establishing a degree of match between a place and a music track, i.e., finding music that “feels right” for the place. Through a series of user studies we show the correctness of our hypothesis. We compare the proposed emotion-based matching approach with a personalized approach where the music track is matched to the music preferences of the user, and to a knowledge-based approach which matches music to places based on metadata (e.g., matching music that was composed during the same period that the place of interest was built in). We show that when evaluating the goodness of fit between places and music, personalization is not sufficient and that the users perceive the emotion-based music suggestions as better fitting the places. The results also suggest that emotion-based and knowledge-based techniques can be combined to complement each other.

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Notes

  1. 1.

    http://www.music-ir.org/mirex.

  2. 2.

    http://bluebrainmusic.blogspot.com/.

  3. 3.

    http://dbpedia.org/.

  4. 4.

    http://www.youtube.com/.

  5. 5.

    http://www.w3.org/TR/rdf-sparql-query/.

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Author information

Authors and Affiliations

  1. Insight Centre for Data Analytics, University College Cork, Cork, Ireland

    Marius Kaminskas

  2. Faculty of Computer Science, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Francesco Ricci

Authors
  1. Marius Kaminskas
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  2. Francesco Ricci
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Correspondence to Marius Kaminskas .

Editor information

Editors and Affiliations

  1. Department of Computational Perception, Johannes Kepler University, Linz, Austria

    Marko Tkalčič

  2. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Berardina De Carolis

  3. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Marco de Gemmis

  4. Preserje, Ljubljana, Slovenia

    Ante Odić

  5. Faculty of electrical engineering, University of Ljubljana, Ljubljana, Slovenia

    Andrej Košir

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Kaminskas, M., Ricci, F. (2016). Emotion-Based Matching of Music to Places. In: Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., Košir, A. (eds) Emotions and Personality in Personalized Services. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-31413-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-31413-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31411-2

  • Online ISBN: 978-3-319-31413-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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