cs.AI updates on arXiv.org 10月03日
沉浸式游戏与LLM分析结合研究用户道德决策
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本文通过结合沉浸式角色扮演游戏与LLM分析能力,研究用户道德决策。基于Floridi的伦理学分类,本文关注于捕捉个人行为中的道德偏好,通过角色扮演游戏暴露参与者于数字隐私领域的伦理场景,并使用定制化的LLM进行数据分析。研究表明,LLM能有效预测用户道德偏好和决策过程,为软件开发早期阶段提供支持。

arXiv:2510.01189v1 Announce Type: cross Abstract: 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.

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道德决策 沉浸式游戏 LLM分析 数字隐私 软件开发
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