Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot: Smoking cessation use case

An LLM with prompt engineering can be used to create a chatbot that can react to a trigger in a personalised way. Integrating both trigger detection and a generative chatbot into a JITAI is possible while ensuring privacy of the individual's personal information and circumstances.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251381747
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot: Smoking cessation use case

Femke Ongenae, Peter Conradie, Sofie Van Hoecke, Lieven De Marez et al.
Digital Health
Digital Mental Health Interventions
article

Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot: Smoking cessation use case

Femke Ongenae, Peter Conradie, Sofie Van Hoecke, Lieven De Marez, Kyana Bosschaerts, Arian Kashefi
article en

Abstract

An LLM with prompt engineering can be used to create a chatbot that can react to a trigger in a personalised way. Integrating both trigger detection and a generative chatbot into a JITAI is possible while ensuring privacy of the individual's personal information and circumstances.

Digital HealthVol. 11
University College West Flanders (BE), Ghent University (BE)
Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Vlaamse regering
Openalex Percentile: Top 67%
Digital Mental Health Interventions
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