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This study introduces a flexible multi-agent architecture for health coaching software using wearable sensors. The architecture supports various functionalities and has been demonstrated in two distinct health coaching systems.

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Area of Science:

  • Health Informatics
  • Software Engineering
  • Human-Computer Interaction

Background:

  • Effective health coaching software requires addressing privacy, modularity, scalability, individualization, data integration, transferability, coordination, and flexibility.
  • Wearable sensors generate valuable data for personalized health interventions.

Purpose of the Study:

  • To propose a novel, generic multi-agent architecture as a template for health coaching applications utilizing wearable sensors.
  • To demonstrate the flexibility and adaptability of the proposed architecture in real-world health coaching scenarios.

Main Methods:

  • Development of a generic multi-agent architecture with analyzer and communication modules.
  • Implementation of diverse functionalities including goal formation, planning, scheduling, event detection, learning, and data collection.
  • Creation of two distinct health coaching systems based on the proposed architecture: a static Fitbit-based system and a dynamic Apple Watch-based system.

Main Results:

  • The proposed architecture successfully supports various functionalities essential for effective health coaching.
  • A static health coaching system was developed using the Fitbit platform to promote physical activity at preset times.
  • A dynamic health coaching system was developed using the Apple Watch platform, adapting interventions to encourage physical activity and reduce sedentary behavior.

Conclusions:

  • The proposed multi-agent architecture provides a flexible and scalable template for developing diverse health coaching applications.
  • The successful implementation of both static and dynamic systems validates the architecture's adaptability to different platforms and coaching strategies.
  • This architecture facilitates the integration of wearable sensor data for personalized and effective health coaching.