Researchers have introduced the Inter-Stance corpus, a new multimodal dataset designed for analyzing conversational stance in social interactions. The corpus comprises recordings from 45 dyads, capturing synchronized data across various modalities including video, thermal imaging, voice, and physiological signals. Annotations within the dataset cover social signals, agreement, disagreement, and neutral stance, enabling advanced modeling of interpersonal behavior. AI
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IMPACT Enables new research into multimodal interpersonal behavior modeling.
RANK_REASON The cluster describes a new academic paper introducing a novel dataset for research purposes.