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Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions
César A Martín1, Daniel E Rivera2, Eric B Hekler3
1ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computacion, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.
This study introduces a control-oriented model of Social Cognitive Theory (SCT) to enhance mobile health interventions. The model aids in designing adaptive interventions for improving physical activity and health behaviors.
Area of Science:
- Control Engineering
- Behavioral Science
- Mobile Health (mHealth)
Background:
- Mobile health (mHealth) technologies increase the relevance of control engineering for health behavior analysis.
- Social Cognitive Theory (SCT) is a key framework for health behavior interventions.
Purpose of the Study:
- To present a control-oriented dynamical systems model of SCT.
- To apply this model to system identification and control design for adaptive interventions.
Main Methods:
- Developed a control-oriented dynamical systems model of SCT using fluid analogies.
- Illustrated model functionality through simulation scenarios.
- Applied the model to estimate semiphysical models and determine daily step goals.
Main Results:
- Demonstrated the model's utility in a physical activity intervention (MILES study).
- Showcased its application in setting "ambitious but doable" daily step goals for sedentary adults.
- Provided a basis for ongoing experimental validation.
Conclusions:
- The control-oriented SCT model facilitates the design and analysis of intensively adaptive interventions.
- This approach bridges control engineering and social/behavioral sciences for health behavior improvement.
- Encourages further research in applying control engineering to behavioral science.
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