Narrative systems, such as dialogue and storytelling systems, often utilize persona profiles to enhance personalized interactions. Existing persona profiles frequently exhibit biases, posing risks to system integrity and fairness. To address this, we introduce the UPCS framework, which categorizes character descriptions into eight dimensions, including bias mitigation strategies. Experimental results demonstrate UPCS's superiority in accuracy, diversity, bias elimination, and user satisfaction, marking a significant advancement in persona construction for reliable narrative systems.

翻译：叙事系统（如对话与故事生成系统）常利用角色画像来增强个性化交互。现有角色画像常存在偏见，对系统完整性与公平性构成风险。为此，我们提出UPCS框架，该框架将角色描述划分为八个维度，并包含偏见缓解策略。实验结果表明，UPCS在准确性、多样性、偏见消除及用户满意度方面均表现优异，标志着可靠叙事系统的角色构建取得了重要进展。