Publicação
College tales: pilot study on Large Language Models generated narratives for mental health literacy
| datacite.subject.fos | Ciências Médicas::Ciências da Saúde | |
| datacite.subject.fos | Ciências Sociais::Psicologia | |
| dc.contributor.author | Sousa, José Pedro Vieira | |
| dc.contributor.author | Campos, Pedro | |
| dc.contributor.author | Bala, Paulo | |
| dc.contributor.author | Pereira Campos, Pedro Filipe | |
| dc.contributor.author | Campos, Pedro | |
| dc.contributor.author | Bala, Paulo | |
| dc.date.accessioned | 2026-07-21T13:03:17Z | |
| dc.date.available | 2026-07-21T13:03:17Z | |
| dc.date.issued | 2024-10-08 | |
| dc.description.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 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. | eng |
| dc.identifier.citation | 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 | |
| dc.identifier.doi | 10.1145/3681716.3689447 | |
| dc.identifier.isbn | 979-8-4007-1823-6/24/10 | |
| dc.identifier.uri | http://hdl.handle.net/10400.13/7882 | |
| dc.language.iso | eng | |
| dc.peerreviewed | n/a | |
| dc.publisher | Association for Computing Machinery (ACM) | |
| dc.relation | 10.54499/LA/P/0083/2020 | |
| dc.relation | 10.54499/UIDP/50009/2020 | |
| dc.relation | 10.54499/UIDB/50009/2020 | |
| dc.relation.ispartof | Proceedings of the 27th International Academic Mindtrek Conference | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Mental health | |
| dc.subject | Depressive disorder | |
| dc.subject | Large Language Models | |
| dc.subject | Interactive storytelling | |
| dc.subject | Game | |
| dc.subject | . | |
| dc.subject | Faculdade de Ciências Exatas e da Engenharia | |
| dc.title | College tales: pilot study on Large Language Models generated narratives for mental health literacy | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2025 | |
| oaire.citation.conferencePlace | Tampere, Finland | |
| oaire.citation.endPage | 275 | |
| oaire.citation.startPage | 270 | |
| oaire.citation.title | Proceedings of the 27th International Academic Mindtrek Conference (Mindtrek ’24) | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Pereira Campos | |
| person.familyName | Campos | |
| person.familyName | Bala | |
| person.givenName | Pedro Filipe | |
| person.givenName | Pedro | |
| person.givenName | Paulo | |
| person.identifier | IkF3sn4AAAAJ | |
| person.identifier.ciencia-id | 7C19-B5E5-01CA | |
| person.identifier.ciencia-id | 911F-BB1A-C970 | |
| person.identifier.orcid | 0000-0001-7706-5038 | |
| person.identifier.orcid | 0000-0001-7706-5038 | |
| person.identifier.orcid | 0000-0003-1743-0261 | |
| relation.isAuthorOfPublication | fb4a962b-b799-4ba2-8778-3d9d0a64b2b0 | |
| relation.isAuthorOfPublication | c9b513a9-5550-40e0-a5a1-ca8868062648 | |
| relation.isAuthorOfPublication | 0dad3d7f-3c49-4c26-9dea-5fdb1deff6e6 | |
| relation.isAuthorOfPublication.latestForDiscovery | fb4a962b-b799-4ba2-8778-3d9d0a64b2b0 |
