构建韩文化专属人格数据集，提升AI对话的文化适配性
Not All Personas Are Worth It: Culture-Reflective Persona Data Augmentation
- 分两步生成符合韩国文化的个性化人格数据
- 创建含20万条记录的KoPersona数据集，覆盖韩式价值观与社会习惯
- 方法可推广至其他语言文化，助力跨文化AI对话
将人格特征融入对话型AI模型对实现真实、生动的交互至关重要。然而，现有人格数据集常忽视文化多样性与适应性，限制了其在构建文化敏感型AI系统中的效能。为此，我们提出一种两阶段生成流程，用于创建文化特异性人格，并推出KoPersona数据集，包含20万条反映韩国文化价值观、行为模式与社会细节的人格数据。通过多种指标的综合评估，验证了KoPersona的质量及其对韩国文化的贴合度。本研究不仅推动了基于人格的对话研究，还建立了一种可扩展的方法，适用于多种语言和文化背景下的文化相关人格生成。
原文摘要 · Abstract (English)
Incorporating personas into conversational AI models is crucial for achieving authentic and engaging interactions. However, the cultural diversity and adaptability of existing persona datasets is often overlooked, reducing their efficacy in building culturally aware AI systems. To address this issue, we propose a two-step pipeline for generating culture-specific personas and introduce KoPersona, a dataset comprising 200,000 personas designed to capture Korean cultural values, behaviors, and social nuances. A comprehensive evaluation through various metrics validates the quality of KoPersona and its relevance to Korean culture. This work not only contributes to persona-based research, but also establishes a scalable approach for creating culturally relevant personas adaptable to various languages and cultural contexts.
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