Enhancing Empathy Through Personalized AI-Driven Experiences and Conversations with Digital Human...
summary
A game framework uses large language models to drive dynamic narratives and take control of digital humans, generating personalized empathy-building interactions from minimal text input. Prototypes run on locally running models to cut latency and emissions, and effectiveness is measured with mixed-methods user studies. Targeted empathy training focuses on specific populations including marginalized groups (e.g., LGBTQI+, Holocaust survivors). Known risks include model misbehavior, technical latency, and accessibility and ethical tradeoffs.
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