  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.
