LLM-Driven Personalities for Decision Making in Emergency Simulations
For virtual humans to appear believable, they must exhibit agency and spatial awareness while interacting with their environment in ways that reflect competence and intelligence. At the core of these capabilities lies effective decision-making, which strongly shapes agent behavior. With the rapid advancement of artificial intelligence, Large Language Models (LLMs) have increasingly been explored as a mechanism to support such decision-making processes. In this work, we investigate the use of LLMs to drive decision-making in virtual humans within a simulated evacuation scenario, incorporating OCEAN personality traits into agent representations. Our goal is to evaluate how personality, expr...
| Authors | Stefano Calzolari, Rubens Montanha, Gabriel Schneider et al. |
|---|---|
| Primary category | cs.GR |
| Published | 30 June 2026 |
| Last updated at source | 30 June 2026 |
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