Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study

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This proof-of-concept study describes the development and evaluation of Aimi, an LLM-based conversational agent designed to deliver Motivational Interviewing through structured workflows. The resource details a within-participants comparison involving 18 adults interacting with Aimi, a novice human coach, and a rule-based CA during text-based role-play sessions. It reports on MI fidelity metrics assessed via the MISC-2 coding system alongside user experience feedback regarding empathy, engagement, and perceived personalization.

ID
4dd71a858a4c4182
Source org
PubMed Central
Author
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OA status
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DOI
10.2196/94036
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BibTeX

@article{allodium:4dd71a858a4c4182,
  title = {Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study},
  journal = {PubMed Central},
  doi = {10.2196/94036},
  url = {https://doi.org/10.2196/94036}
}

RIS

TY  - JOUR
TI  - Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study
PB  - PubMed Central
DO  - 10.2196/94036
UR  - https://doi.org/10.2196/94036
ER  -

APA

Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study. (n.d.). PubMed Central. https://doi.org/10.2196/94036

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