Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy

We show that using a recent break-through in artificial intelligence –transformers–, psychological assessments from text-responses can approach theoretical upper limits in accuracy, converging with standard psychological rating scales. Text-responses use people's primary form of communication –...

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Detalles Bibliográficos
Autores principales: Kjell, Oscar N. E., Sikström, Sverker, Kjell, Katarina, Schwartz, H. Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913644/
https://www.ncbi.nlm.nih.gov/pubmed/35273198
http://dx.doi.org/10.1038/s41598-022-07520-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913644/
https://www.ncbi.nlm.nih.gov/pubmed/35273198
http://dx.doi.org/10.1038/s41598-022-07520-w

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