University of Malta

PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation

Self-annotation is the gold standard for collecting affective state labels in affective computing. Existing methods typically rely on full annotation, requiring users to continuously label affective states across entire sessions. While this process yields fine-grained data, it is time-consuming, cognitively demanding,…