评估大型语言模型在虚拟现实中用于传统苏格兰冰壶运动的可用性与参与度
Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling
AI总结：
本研究通过比较LLM聊天机器人与脚本聊天机器人在VR苏格兰冰壶游戏中的表现，发现LLM显著提升交互性、参与度和学习效果，有助于文化遗产保护与传播。
摘要：
本文探讨了大型语言模型（LLMs）在虚拟现实（VR）环境中促进遗产教育的创新应用，重点关注游戏“苏格兰冰壶VR”中呈现的传统苏格兰冰壶运动。我们的研究比较了基于LLM的聊天机器人与预定义脚本聊天机器人的有效性，评估了可用性、用户参与度和学习成果等关键标准。结果表明，基于LLM的聊天机器人显著提高了交互性和参与度，创造了更具动态性和沉浸感的学习环境。这种整合有助于记录和保护文化遗产，并增强传播过程，这对于在环境变化中 safeguarding 非物质文化遗产（ICH）至关重要。此外，研究强调了新技术在教育中提供沉浸式体验的潜力，以培养对文化遗产更深层次的欣赏。这些发现支持LLMs和VR在文化教育中的更广泛应用，以应对全球挑战并促进可持续实践，以保护和增强文化遗产。
英文摘要：
This paper explores the innovative application of Large Language Models (LLMs) in Virtual Reality (VR) environments to promote heritage education, focusing on traditional Scottish curling presented in the game ``Scottish Bonspiel VR''. Our study compares the effectiveness of LLM-based chatbots with pre-defined scripted chatbots, evaluating key criteria such as usability, user engagement, and learning outcomes. The results show that LLM-based chatbots significantly improve interactivity and engagement, creating a more dynamic and immersive learning environment. This integration helps document and preserve cultural heritage and enhances dissemination processes, which are crucial for safeguarding intangible cultural heritage (ICH) amid environmental changes. Furthermore, the study highlights the potential of novel technologies in education to provide immersive experiences that foster a deeper appreciation of cultural heritage. These findings support the wider application of LLMs and VR in cultural education to address global challenges and promote sustainable practices to preserve and enhance cultural heritage.
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。
