Ontology highlight
ABSTRACT: Background
The motivational interviewing (MI) approach has been shown to help move ambivalent smokers toward the decision to quit smoking. There have been several attempts to broaden access to MI through text-based chatbots. These typically use scripted responses to client statements, but such nonspecific responses have been shown to reduce effectiveness. Recent advances in natural language processing provide a new way to create responses that are specific to a client's statements, using a generative language model.Objective
This study aimed to design, evolve, and measure the effectiveness of a chatbot system that can guide ambivalent people who smoke toward the decision to quit smoking with MI-style generative reflections.Methods
Over time, 4 different MI chatbot v
SUBMITTER: Brown A
PROVIDER: S-EPMC10618902 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature