Cargando…
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 –...
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: | |
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 |
Ejemplares similares
-
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry
por: Kjell, Katarina, et al.
Publicado: (2021) -
Iranian and Swedish adolescents: differences in personality traits and well-being
por: Kjell, Oscar N.E., et al.
Publicado: (2013) -
Computational Language Assessments of Harmony in Life — Not Satisfaction With Life or Rating Scales — Correlate With Cooperative Behaviors
por: Kjell, Oscar, et al.
Publicado: (2021) -
Precise language responses versus easy rating scales—Comparing respondents’ views with clinicians’ belief of the respondent’s views
por: Sikström, Sverker, et al.
Publicado: (2023) -
Doing well-being: Self-reported activities are related to subjective well-being
por: Nilsson, August Håkan, et al.
Publicado: (2022)