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| 1.67 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Mental health, while a crucial component of health, has often been
neglected and stigmatised. University students, considering their
unique situations and stressors, are more vulnerable to experienc
ing mental health challenges and being affected by stigma. The
use of Large Language Models (LLMs) creates an opportunity to
impart knowledge through digital interventions to address stigma,
misinformation, and increase Mental Health Literacy in univer
sity students. Using a LLM generated prompt game, we conducted
a pilot study with 5 mental health professionals. Through semi
structured interviews about the prototype and the narrative, we
identified several narrative problems, such as missing information
or overly simplified concepts. While the prototype has limitations,
the participants considered it to have potential to be integrated as
a tool for professionals.
Descrição
Palavras-chave
Mental health Depressive disorder Large Language Models Interactive storytelling Game . Faculdade de Ciências Exatas e da Engenharia
Contexto Educativo
Citação
José Pedro Vieira Sousa, Pedro Campos, and Paulo Bala. 2024. College Tales: Pilot Study on Large Language Models Generated Narratives for Mental Health Literacy. In Proceedings of the 27th International Academic Mindtrek Conference (Mindtrek ’24), October 08–11, 2024, Tampere, Finland. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3681716.3689447
Editora
Association for Computing Machinery (ACM)