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Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study

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arxiv 1808.07314 v1 pith:A6ANXXJA submitted 2018-08-22 cs.IR cs.HCcs.LG

Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study

classification cs.IR cs.HCcs.LG
keywords behaviorsmodelsmusicalpsychologicalsophisticationlisteninguseddata
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Psychological models are increasingly being used to explain online behavioral traces. Aside from the commonly used personality traits as a general user model, more domain dependent models are gaining attention. The use of domain dependent psychological models allows for more fine-grained identification of behaviors and provide a deeper understanding behind the occurrence of those behaviors. Understanding behaviors based on psychological models can provide an advantage over data-driven approaches. For example, relying on psychological models allow for ways to personalize when data is scarce. In this preliminary work we look at the relation between users' musical sophistication and their online music listening behaviors and to what extent we can successfully predict musical sophistication. An analysis of data from a study with 61 participants shows that listening behaviors can successfully be used to infer users' musical sophistication.

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