Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? - A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.
- DOI
- 10.1371/journal.pone.0352988
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0352988,
title = {Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? - A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.},
author = {Chen Y and Ping Y and Zhou S and Jojo C},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0352988},
url = {https://doi.org/10.1371/journal.pone.0352988}
}RIS
TY - JOUR TI - Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? - A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments. AU - Chen Y AU - Ping Y AU - Zhou S AU - Jojo C PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0352988 UR - https://doi.org/10.1371/journal.pone.0352988 ER -
APA
Y, C., Y, P., S, Z., & C, J. (2026). Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? - A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments.. PloS one. https://doi.org/10.1371/journal.pone.0352988
Source records
- pubmed · retrieved 2026-09-26T11:23:31.226Z