Music Coding Collective, Spring Week Three Modelling relationships between context, function and content of listeners' music selections in everyday life
Event details
The encoding and compression of audio signals, coupled with the internet as a means of communication and distribution, has significantly impacted music engagement practices as increased integration enables music's use in any place, at any time. When people listen, they select music that 'fits' the situation in response to contextual and/or goal-oriented variables.
This presentation outlines a study that assessed three constructs: activities concurrent with music listening, functions of music listening and audio features of listeners' music selection to triangulate and explore their temporal structure in situation-specific music selection. The applied methods to analyse the data using computational statistics (in R) are illustrated, as are ways in which the Spotify API can be leveraged for research purposes. This is hoped to provide an example of the utility of varied tools to help answer complex research questions.
About the speaker
Noah Henry
Noah Henry is a 3rd Year PhD student in the School of Creative Arts and Technologies, supervised by Dr Hauke Egermann and Dr Liam Maloney. His research primarily considers the utility of music in everyday life, and the influence contextual factors have on music selection. His research interests intersects with music information retrieval (MIR) in that he is also interested in how knowledge about music listening in everyday life can be incorporated into recommendation systems for the purpose of meeting listeners' short-term, cross-sectional needs.