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K. Rezk

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Co-designing adaptive support in large language models for youth well-being

Journal article (2026) - Kathleen W. Guan, Easha Jadnanansing, Mohammed Amara, Kirmina Rezk, Bernard J. Jansen, Mark de Reuver, João Fernando Ferreira Gonçalves, Caroline A. Figueroa
Youth increasingly turn to large language models (LLMs) for well-being support, yet existing adaptive strategies often fail to reflect the diverse lived experiences and circumstances shaping youth's daily needs. This work contributes human-centered foundations for adaptive user modeling and personalization in youth well-being LLM systems through community-grounded dialogue strategies. We conducted a participatory study with youth, parents, and youth care professionals (total N=38). Thematic analysis highlighted how community stakeholders prioritized dialogic scaffolding that supports youth agency. In particular, stakeholders emphasized adaptive LLM strategies such as clarifying support priorities, meaning-oriented reflective inquiry, exploring personal narratives and future aims, and preserving decision-making. Based on these insights, we developed dialogue extracts directly from stakeholder quotations to inform the design and future alignment of LLM-based well-being systems. By framing adaptive support as an ongoing dialogic process, this work offers human-centered guidance for tailoring support to youths' evolving contexts, priorities, and lived experiences. ...