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Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- PRISM-AH framework detects ambivalence and hesitancy in videos by analyzing conflicts across facial, vocal, linguistic, and bodily signals using multimodal reasoning.
- 为何重要
- Relevant for healthcare applications, behavioral analysis systems, and any domain requiring detection of conflicting emotional or decision-making states in video.
- 注意
- Performance tested on only 525 labeled videos; generalization to unlabeled data and real-world deployment scenarios remains unvalidated.
收听本摘要
- reasoning
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