Modelling the impact of environmental and social determinants on mental health using generative agents
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 men...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
17 January 2025
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| In: |
npj digital medicine
Year: 2025, Volume: 8, Pages: 1-8 |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-024-01422-z |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41746-024-01422-z Verlag, kostenfrei, Volltext: http://www.nature.com/articles/s41746-024-01422-z 
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| Author Notes: | Joseph Kambeitz & Andreas Meyer-Lindenberg |
| Summary: | 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. |
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| Item Description: | Gesehen am 31.07.2025 |
| Physical Description: | Online Resource |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-024-01422-z |