2020/09/28 by Aayush Surana, Surana, Aayush, Yash Goyal +3
Neuroscience · Psychology · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Information Retrieval (cs.IR) #Mental Health Research Topics #Multimedia (cs.MM) #Music Therapy and Health #Neuroscience and Music Perception #Sound (cs.SD) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2009.13685
openalex publication_date 2020/09/28 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Music, an integral part of our lives, which is not only a source of\nentertainment but plays an important role in mental well-being by impacting\nmoods, emotions and other affective states. Music preferences and listening\nstrategies have been shown to be associated with the psychological well-being\nof listeners including internalized symptomatology and depression. However,\ntill date no studies exist that examine time-varying music consumption, in\nterms of acoustic content, and its association with users' well-being. In the\ncurrent study, we aim at unearthing static and dynamic patterns prevalent in\nactive listening behavior of individuals which may be used as indicators of\nrisk for depression. Mental well-being scores and listening histories of 541\nLast.fm users were examined. Static and dynamic acoustic and emotion-related\nfeatures were extracted from each user's listening history and correlated with\ntheir mental well-being scores. Results revealed that individuals with greater\ndepression risk resort to higher dependency on music with greater\nrepetitiveness in their listening activity. Furthermore, the affinity of\ndepressed individuals towards music that can be perceived as sad was found to\nbe resistant to change over time. This study has large implications for future\nwork in the area of assessing mental illness risk by exploiting digital\nfootprints of users via online music streaming platforms.\n