Work

College Tales: Pilot Study on Large Language Models Generated Narratives for Mental Health Literacy

Year: 2024

Type: conference-paper

Abstract: 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 experiencing 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 university 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.

Source: International Academic Mindtrek Conference (Mindtrek)

DOI: 10.1145/3681716.3689447

Authors: José Pedro Vieira Sousa, Pedro Campos, Paulo Bala

Institutions: Instituto de Tecnologias Interativas, Laboratório de Robótica e Sistemas de Engenharia, Universidade da Madeira

Language: English

Topic: Digital Mental Health Interventions

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Quality education

Open Access status: bronze

Funder: Fundação para a Ciência e a Tecnologia