Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions

Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions

Abstract Rating scales have shaped psychological research, but are resource-intensive and can burden participants. Large Language Models (LLMs) offer a tool to assess latent constructs in text. This study introduces LLM rating scales, which use LLM responses instead of human ratings. We demonstrate...

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Bibliographic Details
Main Authors: Steffen T. Eberhardt, Antonia Vehlen, Jana Schaffrath, Brian Schwartz, Tobias Baur, Dominik Schiller, Tobias Hallmen, Elisabeth André, Wolfgang Lutz
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Natural language processing (NLP)
Patient engagement
Measurement-based care (MBC)
Automatized transcription
Online Access:https://doi.org/10.1038/s41598-025-14923-y
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https://doi.org/10.1038/s41598-025-14923-y

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