利用检索增强生成打造具有文化包容性的客家聊天机器人：设计见解与用户感知
Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions
AI总结：
本研究开发了检索增强生成（RAG）增强的客家文化聊天机器人，通过整合针对性文化数据提升回复准确性与文化共鸣，可用性研究显示用户满意度和参与度显著提升，为族群文化保护与弘扬提供了有效工具。
摘要：
在文化保护与技术创新日益交织的时代，本研究通过开发一种检索增强生成（Retrieval-Augmented Generation，RAG）增强的聊天机器人，引入了一种开创性的方法来推广和保护台湾客家文化的丰富遗产。传统的大语言模型（LLMs）虽然功能强大，但在提供准确且上下文丰富的回复方面往往存在不足，尤其是在文化特定领域。通过将外部数据库与生成式AI模型集成，RAG技术弥合了这一差距，使聊天机器人不仅能够提供精确的答案，还能与对真实互动至关重要的文化细微差别产生深刻共鸣。本研究深入探讨了用针对性文化数据增强聊天机器人知识库的复杂过程，这些数据经过专门策划，以反映客家传统、语言和实践的独特方面。通过动态信息检索，RAG增强的聊天机器人成为一种多功能工具，能够处理需要深入理解客家文化背景的复杂查询。这在数字平台常常稀释文化身份的时代尤为重要，使得具有文化意识的AI系统的作用比以往任何时候都更加关键。作为我们研究一部分进行的系统可用性研究表明，用户满意度和参与度均有显著提升，凸显了该聊天机器人在促进与客家文化更深层次联系方面的有效性。反馈强调了RAG技术不仅能够增强用户体验，而且能够在族群主流化和文化弘扬这一更广泛使命中充当重要工具的潜力。
英文摘要：
In an era where cultural preservation is increasingly intertwined with technological innovation, this study introduces a groundbreaking approach to promoting and safeguarding the rich heritage of Taiwanese Hakka culture through the development of a Retrieval-Augmented Generation (RAG)-enhanced chatbot. Traditional large language models (LLMs), while powerful, often fall short in delivering accurate and contextually rich responses, particularly in culturally specific domains. By integrating external databases with generative AI models, RAG technology bridges this gap, empowering chatbots to not only provide precise answers but also resonate deeply with the cultural nuances that are crucial for authentic interactions. This study delves into the intricate process of augmenting the chatbot's knowledge base with targeted cultural data, specifically curated to reflect the unique aspects of Hakka traditions, language, and practices. Through dynamic information retrieval, the RAG-enhanced chatbot becomes a versatile tool capable of handling complex inquiries that demand an in-depth understanding of Hakka cultural context. This is particularly significant in an age where digital platforms often dilute cultural identities, making the role of culturally aware AI systems more critical than ever. System usability studies conducted as part of our research reveal a marked improvement in both user satisfaction and engagement, highlighting the chatbot's effectiveness in fostering a deeper connection with Hakka culture. The feedback underscores the potential of RAG technology to not only enhance user experience but also to serve as a vital instrument in the broader mission of ethnic mainstreaming and cultural celebration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
