Ordinal representations based on the rate of change of ambiguous emotion annotations improve prediction of directional changes in continuous emotion traces, especially for unbounded labels like engagement.
A systematic review on affective computing: Emotion models, databases, and recent advances,
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Emotions as Ambiguity-aware Ordinal Representations
Ordinal representations based on the rate of change of ambiguous emotion annotations improve prediction of directional changes in continuous emotion traces, especially for unbounded labels like engagement.