Recommended for You: Explicit Motivations and Recommender Systems Influence Users’ Media Engagement and Well-Being

Abstract

People are inundated with readily accessible entertainment media choices. Recommender systems are frequently utilized to support people's media selection and engagement. The psychological factors that influence people's engagement with recommender systems and entertainment content is an under-explored area. This paper reports the findings of an exploratory study where users’ explicit experiences of audiovisual media services (e.g., Netflix, TikTok, YouTube, HBO Max) and their recommender systems were examined through an online survey (n = 339). Thematic analysis, factor analysis, and path analysis were used to evaluate the data. The results indicate that (1) recommender systems influence users’ emotions and media use, (2) people prefer personalized compared to generic recommendation lists, (3) the temporal length of recommended content influences people's interest, and (4) perceived utility leads to the endorsement of recommender systems and may influence users’ well-being. The findings point to wider psychological implications associated with user awareness of recommender systems.