Modelling the impact of environmental and social determinants on mental health using generative agents
Abstract Mental health is shaped by socio-environmental determinants, yet traditional research approaches struggle to capture their complex interactions. This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environment...
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Language: | English |
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Nature Portfolio
2025-01-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-024-01422-z |
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author | Joseph Kambeitz Andreas Meyer-Lindenberg |
author_facet | Joseph Kambeitz Andreas Meyer-Lindenberg |
author_sort | Joseph Kambeitz |
collection | DOAJ |
description | Abstract Mental health is shaped by socio-environmental determinants, yet traditional research approaches struggle to capture their complex interactions. This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environments for mental health research. We outline potential applications including the modelling of adverse life events, urbanicity, climate change, discuss potential challenges and describe how generative agents could transform mental health research. |
format | Article |
id | doaj-art-0beabae452554476a3106b7cf2aa80d0 |
institution | Kabale University |
issn | 2398-6352 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | npj Digital Medicine |
spelling | doaj-art-0beabae452554476a3106b7cf2aa80d02025-01-19T12:39:51ZengNature Portfolionpj Digital Medicine2398-63522025-01-01811810.1038/s41746-024-01422-zModelling the impact of environmental and social determinants on mental health using generative agentsJoseph Kambeitz0Andreas Meyer-Lindenberg1Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of CologneDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of HeidelbergAbstract Mental health is shaped by socio-environmental determinants, yet traditional research approaches struggle to capture their complex interactions. This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environments for mental health research. We outline potential applications including the modelling of adverse life events, urbanicity, climate change, discuss potential challenges and describe how generative agents could transform mental health research.https://doi.org/10.1038/s41746-024-01422-z |
spellingShingle | Joseph Kambeitz Andreas Meyer-Lindenberg Modelling the impact of environmental and social determinants on mental health using generative agents npj Digital Medicine |
title | Modelling the impact of environmental and social determinants on mental health using generative agents |
title_full | Modelling the impact of environmental and social determinants on mental health using generative agents |
title_fullStr | Modelling the impact of environmental and social determinants on mental health using generative agents |
title_full_unstemmed | Modelling the impact of environmental and social determinants on mental health using generative agents |
title_short | Modelling the impact of environmental and social determinants on mental health using generative agents |
title_sort | modelling the impact of environmental and social determinants on mental health using generative agents |
url | https://doi.org/10.1038/s41746-024-01422-z |
work_keys_str_mv | AT josephkambeitz modellingtheimpactofenvironmentalandsocialdeterminantsonmentalhealthusinggenerativeagents AT andreasmeyerlindenberg modellingtheimpactofenvironmentalandsocialdeterminantsonmentalhealthusinggenerativeagents |