LETGAMES: 一种基于大语言模型的认知训练游戏化方法用于认知障碍患者
LETGAMES: An LLM-Powered Gamified Approach to Cognitive Training for Patients with Cognitive Impairment
AI总结：
LETGAMES通过大语言模型生成个性化互动叙事游戏，针对特定认知领域设计挑战，并通过对话策略提供指导，通过心理学基础评估协议验证其有效性，展示了在认知训练工具中的潜力。
摘要：
将游戏作为治疗工具用于认知训练对认知障碍患者有益。然而，为个体患者设计有效游戏是资源密集型的。为此，我们提出了一种基于大语言模型的自动化和个性化治疗游戏设计方法。受《龙与地下城》启发，LETGAMES生成一个开放世界互动叙事游戏。它不仅生成针对特定认知领域的游戏场景和挑战，还运用对话策略提供指导和陪伴。为了验证其有效性，我们开创了一个心理学基础的评估协议LETGAMESEVAL，建立了全面的康复评估指标。在此基础上，我们的实验结果从基于大语言模型的评估者和人类专家评估中展示了我们方法的显著潜力，将LETGAMES定位为解决对更可访问和定制化认知训练工具广泛需求的有希望的解决方案。我们的代码将在接受后开源。
英文摘要：
The application of games as a therapeutic tool for cognitive training is beneficial for patients with cognitive impairments. However, effective game design for individual patient is resource-intensive. To this end, we propose an LLM-powered method, \ours, for automated and personalized therapeutic game design. Inspired by the Dungeons & Dragons, LETGAMES generates an open-world interactive narrative game. It not only generates game scenarios and challenges that target specific cognitive domains, but also employs conversational strategies to offer guidance and companionship. To validate its efficacy, we pioneer a psychology-grounded evaluation protocol LETGAMESEVAL, establishing comprehensive metrics for rehabilitative assessment. Building upon this, our experimental results from both LLM-based assessors and human expert evaluations demonstrate the significant potential of our approach, positioning LETGAMES as a promising solution to the widespread need for more accessible and tailored cognitive training tools. Our code will be open-sourced upon acceptance.
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。
