arXiv: cs.AI preprintsInternational11 November 2026
When Words and Bodies Disagree: Realizing Verbal and Nonverbal Mismatch
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arXiv:2608.22731v2 Announce Type: replace Abstract: Traditional nonverbal behavior generation systems for virtual agents typically take utterances as input and generate behaviors that match or illustrate the spoken words. However, human nonverbal behavior is shaped by more than speech content. It is influenced by speaker roles, interpersonal relationships, social context, and cognitive and emotional states of interactants. Therefore, the nonverbal channel carries information or emotions hidden in words. Modeling these complex verbal-nonverbal mismatches is critical for realistic virtual agents
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