Journal Articles

Underlining indicates lab students trained under Canadian Tri-Agency funding rules

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. [LINK]

Tang Poy, C. & Woolhouse, M. H. (2020). The attraction of synchrony: A hip-hop dance study. Frontiers in Psychology. 11: 2991. DOI: 10.3389/fpsyg.2020.588935. [LINK]

Spyra, J., Stodolak, M., & Woolhouse, M. H. (2019). Events versus time in the perception of nonadjacent key relationships. Musicae Scientiae, 1-14. DOI: 10.1177/1029864919867463. [LINK]

Ponmanadiyil, R., & Woolhouse, M. H. (2018). Eye movements, attention, and expert knowledge in the observation of Bharatanatyam dance. Journal of Eye Movement Research11(2):11, 1-12. [LINK]

Swarbrick, D., Bosnyak, D., Livingstone, S. R., Bansal, J., Marsh-Rollo, S., Woolhouse, M. H., & Trainor, L. J. (2018). How live music moves us: Head movement differences in audiences to live versus recorded music. Frontiers in Psychology. 9:2682. [LINK]

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. [LINK]

Woolhouse, M. H., Cross, I. & Horton, T. (2016). Perception of non-adjacent tonic-key relationships. Psychology of Music. 44/4: 802–815. [LINK]

Woolhouse, M. H., Tidhar, D. & Cross, I. (2016). Effects on inter-personal memory of dancing in time with others. Frontiers in Psychology. 7/167: 1-8. [LINK]

Woolhouse, M. H., & Zaranek, A. (2016). Intuitive navigation in computer applications for people with Parkinson’s. Journal of Biomusical Engineering. 4/1: 115-123. DOI:10.4172/2090-2719.1000115. [LINK]

Woolhouse, M. H., Williams, S.Zheng, S. & General, A. (2015). Creating technology-based dance activities for people with Parkinson’s. International Journal of Health, Wellness and Society. 5/4: 107-121. [LINK]

Woolhouse, M. H. (2015). Probability and style in the chorales of J. S. Bach. Empirical Musicology Review. 10/3: 207-214. [LINK]

Woolhouse, M. H., & Renwick, J. (2015). Generalizing case-based analyses in the study of global music consumption. Digital Studies/Le champ numérique. 5/1: 1-11. [LINK]

Woolhouse, M. H. & Lai, R. (2014). Traces across the body: Influence of music-dance synchrony on the observation of dance. Frontiers in Human Neuroscience. 8/965: 1-14. [LINK]

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. [LINK]

Woolhouse, M. H. & Bansal, J. (2013). Work, rest and (press) play: Music consumption as an indicator of human economic development. Journal of Interdisciplinary Music Studies. 7/1&2: 45-71. [LINK]

Woolhouse, M. H. & Cross, I. (2011). A response to Ian Quinn. Music Theory Spectrum, 33/1: 99-105. [LINK]

Woolhouse, M. H. (2010). Modes on the move: Interval cycles and the emergence of major-minor tonality. Empirical Musicology Review, 5/3: 62-83. [LINK]

Woolhouse, M. H. & Cross, I. (2010). Tonal implications of dyadic harmony. In J. Sloboda (Ed.), ‘Understanding musical structure and form: Papers in honour of Irene Deliege.’ Musicae Scientiae14 no. 2 suppl 49-70. DOI: 10.1177/10298649100140S205. [LINK]

Woolhouse, M. H. & Cross, I. (2010). Using interval cycles to model Krumhansl’s tonal hierarchies. Music Theory Spectrum, 32/1: 60-78. [LINK]

Woolhouse, M. H. (2009). Modelling tonal attraction between adjacent musical elements. Journal of New Music Research, 38/4: 357-379. [LINK]

Cross, I., Gill, S., Knight, S., Nash, C., Rabinowitch, T., Slobodian, L., Spiro, N., Woodruff, G. & Woolhouse, M. H. (2008). Commentary on “The perception and cognition of time in Balinese music” by Andrew Clay McGraw. Empirical Musicology Review, 3/2: 55-58. [LINK]