Language-based assessments for experienced well-being: accuracy and external validity across behaviors, traits, and states
Scientific Reports · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
experienced well-beinglarge language modelsemotional characteristicsgeneralizabilityhospitality workersemotional experiencedescriptive termsMental Health via WritingPsychological Well-being and Life SatisfactionEmotion and Mood Recognitiondaily emotionspredictive validityservice employeesinformation richnessMental Health Research Topics
Come citare questo studio
August Nilsson, Ryan Boyd, Adithya V Ganesan, Oscar Kjell, Syeda Mahwish, Haitao Huang, Richard N. Rosenthal, Lyle Ungar, H. Andrew Schwartz. (2026). Language-based assessments for experienced well-being: accuracy and external validity across behaviors, traits, and states. Scientific Reports. DOI: 10.1038/s41598-026-76359-2
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