3 papers
cs.CV2026
Can Large Language Models Capture Video Game Engagement?
David Melhart, Matthew Barthet, Georgios N. Yannakakis
Can out-of-the-box pretrained Large Language Models (LLMs) detect human affect successfully when observing a video? To address this question, for the first time, we evaluate compre…
cs.AI2026
PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation
Jaeyoung Moon, Youjin Choi, Yucheon Park +3
Self-annotation is the gold standard for collecting affective state labels in affective computing. Existing methods typically rely on full annotation, requiring users to continuous…
cs.LG2025
Emotions as Ambiguity-aware Ordinal Representations
Jingyao Wu, Matthew Barthet, David Melhart +1
Emotions are inherently ambiguous and dynamic phenomena, yet existing continuous emotion recognition approaches either ignore their ambiguity or treat ambiguity as an independent a…