Abstract
This position paper describes the initial research assump-
tions to improve music recommendations by including personality and
emotional states. By including these psychological factors, we believe
that the accuracy of the recommendation can be enhanced. We will give
attention to how people use music to regulate their emotional states, and
how this regulation is related to their personality. Furthermore, we will
focus on how to acquire data from social media (i.e., microblogging sites
such as Twitter) to predict the current emotional state of users. Finally,
we will discuss how we plan to connect the correct emotionally laden
music pieces to support the emotion regulation style of users.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE), at the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP), Aalborg, Denmark |
| Number of pages | 9 |
| Publication status | Published - 2014 |
Fields of science
- 202002 Audiovisual media
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)