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arxiv: 2505.24697 · v2 · pith:YNJUHHGOnew · submitted 2025-05-30 · 💻 cs.SE

Towards a unified user modeling language for engineering human centered AI systems

classification 💻 cs.SE
keywords userlanguagemodelingpersonalizationpotentialbeenconversationalinterfaces
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In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent user interfaces, such as AI-based conversational agents, has the potential to enable such personalization beyond what other types of interfaces could offer in the past. Personalization requires the ability to specify a complete user profile, covering as many dimensions as possible, such as potential accessibility constraints, interaction preferences, and even hobbies. Yet, existing solutions for user modeling mostly focus on individual aspects at a very coarse level, severely limiting the potential adaptations for personalization. In this sense, this paper presents a unified user modeling language, aimed to combine previous approaches, both from the modeling community and other user-centric fields, in a single proposal. This language has been implemented on top of the open source BESSER low-code platform. Additionally, a proof of concept leveraging user profiles modeled with our language to automatically adapt a conversational agent has also been developed.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Low-Code Approach for the Automatic Personalization of Conversational Agents

    cs.SE 2026-05 unverdicted novelty 2.0

    SLR on user modeling in MDE finds disconnected proposals emphasizing static easy traits, limited dynamic evolution and tools, and calls for unified models plus ML-driven personalization pipelines.