Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study

Abstract

In this study, we investigated if the user's eudaimonic and hedonic orientation (EHO) and the eudaimonic and hedonic (EH) scores of a music video contribute to a successful prediction of user preferences. The study was carried out on real content and users in collaboration with the Dutch music video streaming platform XITE. We collected EH annotations from the music expert curator team at XITE and conducted a user study to collect users' data, including EHO. Using machine learning models, we predicted the relevance of a music video to a user based on the EHO and EH scores. Our results confirmed the hypothesized relationship, with several models outperforming the baseline.