Can Vision-Language Models Extract Relevant Multimodal Cues for Post-Inference Cue Integration? A Comparison of Affective Judgments on Adult and Child Interaction Data
Inferring human affective states from multimodal behavioral cues is essential for socially aware AI and human-robot interaction. Conventional research practice either relies on hand-crafted behavioral detectors or end-to-end deep learning models that often lack interpretability and contextual adaptation. Recent work su...