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Updated: Jun 13, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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Published on: December 23, 2025

Designing Patient-Friendly Messages: Tutorial on Applying Human-Centered, Self-Determination Theory With AI

Ashley C Griffin1,2, Sarah J Javier1,3, Madeleine Golding1

  • 1Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.

Journal of Medical Internet Research
|October 17, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a human-centered design approach for patient messaging, integrating self-determination theory (SDT) and patient feedback to improve health behavior change and treatment uptake.

Keywords:
SDTartificial intelligencehealth behaviorhuman-centered designmobile healthpatient participationself-determination theoryveteran

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07:14

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Published on: December 23, 2025

Area of Science:

  • Health Communication
  • Behavioral Science
  • Human-Computer Interaction

Background:

  • Patient messaging technologies are increasingly using artificial intelligence (AI).
  • Effectiveness of these tools depends on theoretical grounding and user input.
  • Self-determination theory (SDT) is a framework for health behavior change.

Purpose of the Study:

  • To outline a human-centered design approach for patient messaging content.
  • To align messaging with SDT constructs (autonomy, competence, relatedness).
  • To promote evidence-based treatments for chronic pain patients.

Main Methods:

  • Developed messages using SDT and behavior change techniques.
  • Employed rapid prototyping and iterative feedback from patient engagement boards.
  • Synthesized feedback with SDT and human-centered AI principles.

Main Results:

  • Identified strategies for patient-centered message development.
  • Emphasized early engagement, diverse perspectives, and message tailoring.
  • Highlighted the importance of human interaction in AI-guided messaging.

Conclusions:

  • The proposed approach enhances patient messaging content and treatment uptake.
  • Recommendations guide multidisciplinary teams in creating patient-centered health messages.
  • Early patient engagement can mitigate AI concerns and improve health outcomes.