Project Details
Description
GOAL aims to develop a multi-dimensional theoretical framework that supports evidence-based overweight prevention via gamified health technologies. The framework targets eHealth service providers and urban infrastructure designers.
The project addresses a theoretical gap between the disciplines of health behavior change, smart healthy living environments, and health game design. A socio-ecological approach is combined with design science methods to develop an integrated and validated framework. Besides statistical tests based on hypotheses we also use association rule mining and other computational intelligence techniques.
This project will deliver AI based solutions that bring direct health benefits to citizens via gamified AI-driven lifestyle recommender and decision support systems.
The project addresses a theoretical gap between the disciplines of health behavior change, smart healthy living environments, and health game design. A socio-ecological approach is combined with design science methods to develop an integrated and validated framework. Besides statistical tests based on hypotheses we also use association rule mining and other computational intelligence techniques.
This project will deliver AI based solutions that bring direct health benefits to citizens via gamified AI-driven lifestyle recommender and decision support systems.
Layman's description
GOAL aims to develop a multi-dimensional theoretical framework that supports evidence-based overweight prevention via gamified digital health technologies.
Acronym | GOAL |
---|---|
Status | Finished |
Effective start/end date | 1/02/18 → 31/10/21 |
Collaborative partners
- Eindhoven University of Technology (lead)
- Gemeente Eindhoven
- Gemeente Utrecht
- Utrecht University
- AiREAS
- UMC Utrecht
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.