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Authors: P. Álvarez 1 ; A. Guiu 1 ; J. R. Beltrán 2 ; J. R. García de Quirós 1 and S. Baldassarri 1

Affiliations: 1 Department of Computer Science and Systems Engineering, University of Zaragoza, Zaragoza and Spain ; 2 Department Electronic Engineering and Communications, University of Zaragoza, Zaragoza and Spain

Keyword(s): Running, Music Recommendations, Runners’ Emotions, Motivation and Performance.

Related Ontology Subjects/Areas/Topics: Computer Systems in Sports ; Multimedia and Information Technology ; Sport Science Research and Technology

Abstract: People that practice running use to listen to music during their training sessions. Music can have a positive influence on runners’ motivation and performance, but it requires selecting the most suitable song at each moment. Most of the music recommendation systems combine users’ preferences and context-aware factors to predict the next song. In this paper, we include runners’ emotions as part of these decisions. This fact has forced us to emotionally annotate the songs available in the system, to monitor runners’ emotional state and to interpret these data in the recommendation algorithms. A new next-song recommendation system and a mobile application able to play the recommended music from the Spotify streaming service have been developed. The solution combines artificial intelligence techniques with Web service ecosystems, providing an innovative emotion-based approach.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Álvarez, P.; Guiu, A.; Beltrán, J.; García de Quirós, J. and Baldassarri, S. (2019). DJ-Running: An Emotion-based System for Recommending Spotify Songs to Runners. In Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - icSPORTS; ISBN 978-989-758-383-4; ISSN 2184-3201, SciTePress, pages 55-63. DOI: 10.5220/0008164100550063

@conference{icsports19,
author={P. Álvarez. and A. Guiu. and J. R. Beltrán. and J. R. {García de Quirós}. and S. Baldassarri.},
title={DJ-Running: An Emotion-based System for Recommending Spotify Songs to Runners},
booktitle={Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - icSPORTS},
year={2019},
pages={55-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008164100550063},
isbn={978-989-758-383-4},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - icSPORTS
TI - DJ-Running: An Emotion-based System for Recommending Spotify Songs to Runners
SN - 978-989-758-383-4
IS - 2184-3201
AU - Álvarez, P.
AU - Guiu, A.
AU - Beltrán, J.
AU - García de Quirós, J.
AU - Baldassarri, S.
PY - 2019
SP - 55
EP - 63
DO - 10.5220/0008164100550063
PB - SciTePress

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