Reconceptualizing LLM-Induced Hallucinations as Game Features
Feng Wang
This study presents a novel and systematic framework to integrating Large Language Models (LLMs) into video game design by reconceptualizing the inherent characteristic phenomenon of "hallucinations"—instances where LLMs generate plausible yet inaccurate or fictitious content—as intrinsic game features. Instead of treating hallucinations as errors, we adapt them to enrich narrative complexity and enhance player experience. We introduce two key design strategies: 1) controlling narrative boundari