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Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance digital health behavior change interventions for adolescents by measuring, modeling, and optimizing engagement. This framework aims to improve intervention efficacy for healthier outcomes in youth.

Keywords:
AI ethicsBCTadolescenceadolescentartificial intelligencebehavior changebehavioral interventiondigital health behavior changeengagementethicalethicsmachine learningmodeloperationalizationoptimizationprivacyrisky behaviorsecuritytrace log datayouth

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Area of Science:

  • Digital health
  • Behavior change interventions
  • Artificial intelligence in healthcare

Background:

  • Adolescent engagement with behavior change interventions is crucial but challenging.
  • Digital interventions offer vast process-level data for analysis.
  • Optimizing engagement can increase intervention efficacy in youth.

Purpose of the Study:

  • To propose a framework for using AI to understand and improve adolescent engagement in digital health behavior change interventions (DHBCIs).
  • To outline AI applications for measuring, modeling, optimizing, and generating interventions for adolescent engagement.
  • To address ethical considerations, particularly adolescent privacy, in AI implementation.

Main Methods:

  • Leveraging process-level data from digital interventions.
  • Applying artificial intelligence (AI) analytical capabilities.
  • Utilizing the INSPIRE narrative-centered DHBCI as a case example.

Main Results:

  • A proposed AI framework with four key goals: measurement, modeling, optimization, and generation of adolescent engagement.
  • Identification of potential AI pitfalls, emphasizing adolescent privacy concerns.
  • Highlighting numerous opportunities for future research in AI-driven adolescent interventions.

Conclusions:

  • AI holds significant potential to enhance the engagement and efficacy of DHBCIs for adolescents.
  • Ethical considerations, especially privacy, are paramount for successful AI implementation in youth-focused interventions.
  • Further research is warranted to fully realize the benefits of AI in this domain.