LLM prompting can steer both speech and nonverbal cues of virtual agents toward intended extraversion levels, with human observers detecting the difference.
KODIS: A Multicultural Dispute Resolution Dialogue Corpus
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abstract
We present KODIS, a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. Motivated by a theoretical model of culture and conflict, participants engage in a typical customer service dispute designed by experts to evoke strong emotions and conflict. The corpus contains a rich set of dispositional, process, and outcome measures. The initial analysis supports theories of how anger expressions lead to escalatory spirals and highlights cultural differences in emotional expression. We make this corpus and data collection framework available to the community.
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Can LLMs Generate Behaviors for Embodied Virtual Agents Based on Personality Traits?
LLM prompting can steer both speech and nonverbal cues of virtual agents toward intended extraversion levels, with human observers detecting the difference.