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LLMs and RPGs help engineers understand user moral profiles

Researchers have developed a novel method for understanding users' moral values in early software development by using role-playing games and large language models. This approach moves beyond traditional value elicitation by having participants engage in simulated scenarios, generating rich narrative data. A specialized LLM, termed GPT-A, then analyzes this data to create individual anthropological moral profiles (IAMPs), which represent users' moral orientations in context. AI

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IMPACT Introduces a novel method for integrating user moral values into system design, potentially improving user-centric AI development.

RANK_REASON This is a research paper published on arXiv detailing a new methodology for requirements engineering. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Gianluca De Ninno, Paola Inverardi, Francesca Belotti ·

    Beyond Value Elicitation: Towards Moral Profiles in Early Requirements Engineering via Role-Playing Games and Anthropologist LLMs

    arXiv:2510.01189v2 Announce Type: replace-cross Abstract: This study presents a proof of concept for eliciting and representing the moral profiles of digital system users in Requirements Engineering (RE) by combining immersive role-playing games (RPGs) with large language model (…