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Antifragile Behavior Change Through Digital Health Behavior Change Interventions.
Benjamin T Kaveladze1, Sean D Young2,3, Stephen M Schueller1,3
1Department of Psychological Science, University of California, Irvine, CA, United States.
Digital health behavior change interventions (DHBCIs) can be improved by applying antifragility principles. This approach helps tailor support to individual users, maximizing benefits and minimizing risks in behavior change journeys.
Area of Science:
- Digital Health
- Behavioral Science
- Intervention Design
Background:
- Digital health behavior change interventions (DHBCIs) aim to improve health behaviors but often fall short of their potential.
- A key limitation may be the lack of personalized support tailored to individual characteristics and goals.
Purpose of the Study:
- To propose antifragility as a framework for enhancing DHBCI design.
- To introduce antifragile behavior change as a strategy that leverages person-specific strengths to optimize behavior change outcomes.
Main Methods:
- Defining antifragility and antifragile behavior change.
- Proposing three core principles for designing antifragile DHBCIs: personalized guidance, embracing variance, and prioritizing user agency.
- Illustrating with a DHBCI design example.
Main Results:
- Antifragile behavior change focuses on selecting challenges that yield the most benefit by leveraging individual antifragilities.
- DHBCIs can be designed to foster antifragile behavior change through personalized guidance, exploration, and user agency.
Conclusions:
- Applying antifragility principles can lead to more effective and personalized DHBCIs.
- This approach offers a novel way to maximize benefits and minimize risks in users' health behavior change journeys.
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