Dynamic In-Group Persona Generation for Enhancing Human-AI Rapport
LLM-based chatbots are increasingly applied in interpersonal domains such as counseling and peer support, where establishing human-AI rapport is crucial yet remains challenging. In this work, we introduce a novel approach for conditioning LLMs with in-group personas, which (i) first identifies a user's primary concern and brief personal context (e.g., a computer science undergraduate worried about future career prospects), and (ii) generates a synthetic in-group persona that shares a similar primary concern while differing in background and narrative details, such as age or profession (e.g., a junior researcher at an AI startup). Furthermore, we conduct a human-subject study to systematic...
| Authors | Yoonseok Oh, Inseo Jung, Jinkyu Kim et al. |
|---|---|
| Primary category | cs.HC |
| Published | 5 May 2026 |
| Last updated at source | 5 May 2026 |
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