Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition

In 30 Sekunden

Was passiert ist

PRISM-AH framework detects ambivalence and hesitancy in videos by analyzing conflicts across facial, vocal, linguistic, and bodily signals using multimodal reasoning.

Warum es zählt

Relevant for healthcare applications, behavioral analysis systems, and any domain requiring detection of conflicting emotional or decision-making states in video.

Achtung

Performance tested on only 525 labeled videos; generalization to unlabeled data and real-world deployment scenarios remains unvalidated.