标题： 通过角色扮演引发用户道德偏好的人类学家大语言模型 显示英文标题

标题： An Anthropologist LLM to Elicit Users' Moral Preferences through Role-Play

摘要： 本研究探讨了一种新颖的方法，通过将沉浸式角色扮演游戏与LLM分析能力相结合，以引出用户的道德决策。 在Floridi提出的区分基础上，即硬伦理激发和塑造法律，以及软伦理——道德偏好指导符合法律的决策自由空间内的个体行为，我们专注于通过内容丰富、叙事驱动的互动来捕捉后者。 基于人类学方法，角色扮演游戏让参与者接触到数字隐私领域的伦理相关情景。 在会议期间收集的数据由一个定制的LLM（“GPT人类学家”）进行解释。 通过交叉验证过程进行的评估表明，数据的丰富性和解释框架显著增强了模型预测用户行为的能力。 结果表明，LLM可以有效地用于自动化并增强对软件开发早期阶段用户道德偏好和决策过程的理解。 显示英文摘要

摘要： This study investigates a novel approach to eliciting users' moral decision-making by combining immersive roleplaying games with LLM analysis capabilities. Building on the distinction introduced by Floridi between hard ethics inspiring and shaping laws-and soft ethics-moral preferences guiding individual behavior within the free space of decisions compliant to laws-we focus on capturing the latter through contextrich, narrative-driven interactions. Grounded in anthropological methods, the role-playing game exposes participants to ethically charged scenarios in the domain of digital privacy. Data collected during the sessions were interpreted by a customized LLM ("GPT Anthropologist"). Evaluation through a cross-validation process shows that both the richness of the data and the interpretive framing significantly enhance the model's ability to predict user behavior. Results show that LLMs can be effectively employed to automate and enhance the understanding of user moral preferences and decision-making process in the early stages of software development.