MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games

ArXi:2604.12700v1 Announce Type: new Understanding human intent in complex multi-turn interactions remains a fundamental challenge in human-computer interaction and behavioral analysis. While existing intent recognition datasets focus mainly on single utterances or simple dialogues, real-world scenarios often involve sophisticated strategic interactions where participants must maintain complex deceptive narratives over extended periods. To address this gap, we