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Music, an integral part of our lives, which is not only a source ofentertainment but plays an important role in mental well-being by impactingmoods, emotions and other affective states. Music preferences and listeningstrategies have been shown to be associated with the psychological well-beingof listeners including internalized symptomatology and depression. However,till date no studies exist that examine time-varying music consumption, interms of acoustic content, and its association with users' well-being. In thecurrent study, we aim at unearthing static and dynamic patterns prevalent inactive listening behavior of individuals which may be used as indicators ofrisk for depression. Mental well-being scores and listening histories of 541Last.fm users were examined. Static and dynamic acoustic and emotion-relatedfeatures were extracted from each user's listening history and correlated withtheir mental well-being scores. Results revealed that individuals with greaterdepression risk resort to higher dependency on music with greaterrepetitiveness in their listening activity. Furthermore, the affinity ofdepressed individuals towards music that can be perceived as sad was found tobe resistant to change over time. This study has large implications for futurework in the area of assessing mental illness risk by exploiting digitalfootprints of users via online music streaming platforms.

Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk