In 2013, the DML entered into a 5-year data-sharing agreement with Nokia Music, the company responsible for online music content on Nokia mobile phones. Composed of over 1.3 billion music downloads made by 17 million people in 32 countries, the resulting database has given rise to multiple research projects looking at global music consumption. Coupled with audio-feature data and preexisting music-preference research, the lab also carries out “big-data” analyses investigating the link between music and personality. An example of the lab’s research.
Representative Publications*
*bolding indicates lab students
Bansal, J., Flannery, M. B., & Woolhouse, M. H. (2020). Influence of personality on music-genre exclusivity. Psychology of Music, 1-16. DOI: 10.1177/0305735620953611.
Barone, M. D., Bansal, J. & Woolhouse, M. H. (2017). Acoustic features influence musical choices across multiple genres. Frontiers in Psychology. 8:931. DOI: 10.3389/fpsyg.2017.00931.
Barone, M. D., DaCosta, K., Vigliensoni, G. & Woolhouse, M. H. (2017). GRAIL: Database linking music metadata across artist, release, and track. Proceedings of the 4th International Workshop on Digital Libraries for Musicology, 1-6. Shanghai, China.
Bansal, J. & Woolhouse, M. H. (2015). Predictive power of personality on music-genre exclusivity (PDF). Proceedings of the International Society for Music Information Retrieval Conference, 652-58. Málaga, Spain.
Woolhouse, M. H., Renwick, J. & Tidhar, D. (2014). Every track you take: Analysing the dynamics of song and genre reception through music downloading. Digital Studies/Le champ numérique. 4/1: 1-11.
Woolhouse, M. H. & Bansal, J. (2013). Work, rest and (press) play: Music consumption as an indicator of human economic development (PDF). Journal of Interdisciplinary Music Studies. 7/1&2: 45-71.