The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change.

ABSTRACT:

Importance

The study highlights the potential and limitations of the Large Language Models (LLMs) in recognizing different states of motivation to provide appropriate information for behavior change. Following the Transtheoretical Model (TTM), we identified the major gap of LLMs in responding to certain states of motivation through validated scenario studies, suggesting future directions of LLMs research for health promotion.

Objectives

The LLMs-based generative conversational agents (GAs) have shown success in identifying user intents semantically. Little is known about its capabilities to identify motivation states and provide appropriate information to facilitate behavior change progression.

Materials and methods

We evaluated 3 GAs, ChatGPT, Google Bard, and Llama

SUBMITTER: Bak M 

PROVIDER: S-EPMC11339501 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature