Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study

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Authors Lorenzo Porcaro, Emilia GΓ³mez, Carlos Castillo arXiv ID 2212.00592 Category cs.HC: Human-Computer Interaction Cross-listed cs.IR Citations 10 Venue Trans. Recomm. Syst. Last Checked 4 months ago
Abstract
We present the results of a 12-week longitudinal user study wherein the participants, 110 subjects from Southern Europe, received on a daily basis Electronic Music (EM) diversified recommendations. By analyzing their explicit and implicit feedback, we show that exposure to specific levels of music recommendation diversity may be responsible for long-term impacts on listeners' attitudes. In particular, we highlight the function of diversity in increasing the openness in listening to EM, a music genre not particularly known or liked by the participants previous to their participation in the study. Moreover, we demonstrate that recommendations may help listeners in removing positive and negative attachments towards EM, deconstructing pre-existing implicit associations but also stereotypes associated with this music. In addition, our results show the significant clout that recommendation diversity has in generating curiosity in listeners.
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