LLMs Generate Contextual Verbal-Nonverbal Mismatches in Virtual Humans
Overview
This study proposes a taxonomy for verbal-nonverbal mismatches and demonstrates that large language models can select appropriate mismatched behaviors like sarcasm based on social context. Human-subject evaluations confirm these cues significantly shift observers' perceptions of the virtual agent's attitude and emotional valence compared to matching baselines.
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- arXiv Robotics — research abstractsLLMs Generate Contextual Verbal-Nonverbal Mismatches in Virtual Humans
This study proposes a taxonomy for verbal-nonverbal mismatches and demonstrates that large language models can select appropriate mismatched behaviors like sarcasm based on social context. Human-subject evaluations confirm these cues significantly shift observers' perceptions of the virtual agent's attitude and emotional valence compared to matching baselines.
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