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This study forms continuous recognition of the Group Emotion at a one-second resolution, introduces the Mixed state, which captures the emotional divergence among participants in the group, and proposes a multimodal temporal framework that integrates audio and video information using a sliding-window context.
TEIDAN reveals how multilingual, spontaneous dialogue can transform our understanding of group conversation dynamics in AI systems.