@inproceedings{manso-vazquez-etal-2025-design,
    title = "Design of a conversational agent to support people on suicide risk",
    author = "Manso V{\'a}zquez, Mario  and
      Ram{\'i}rez S{\'a}nchez, Jos{\'e} Manuel  and
      Garc{\'i}a-Mateo, Carmen  and
      Doc{\'i}o-Fern{\'a}ndez, Laura  and
      Fern{\'a}ndez-Iglesias, Manuel Jos{\'e}  and
      G{\'o}mez-G{\'o}mez, Beatriz  and
      Pinal, Beatriz  and
      Bra{\~n}as, Antia  and
      Garc{\'i}a-Caballero, Alejandro",
    editor = "Torres, Maria Ines  and
      Matsuda, Yuki  and
      Callejas, Zoraida  and
      del Pozo, Arantza  and
      D'Haro, Luis Fernando",
    booktitle = "Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology",
    month = may,
    year = "2025",
    address = "Bilbao, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.iwsds-1.13/",
    pages = "154--159",
    ISBN = "979-8-89176-248-0",
    abstract = "In this paper, we present a core component of the VisIA project: a conversational agent designed to detect suicide risk factors during real-time chat interactions. By adhering to clinical guidelines and the state-of-the-art theories of suicide, the agent aims to provide a scalable and effective approach to identifying individuals at risk. Preliminary results demonstrate the feasibility and potential of conversational agents in enhancing suicide risk detection."
}