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DiaGame – Serious and personalized game for self-management of diabetes

Funded by NWO Data2Person and HRH Diabetes Games

The project

Ambition

The DiaGame project applies the sciences of data learning and biomedical simulations to an existing serious diabetes gaming platform (SugarVita). We aim to make the current SugarVita a data-driven, personalized serious game (SugarVita-P4) that empowers individuals with diabetes to manage the disease they are facing.

In order to personalize the game, we will integrate our expertise on processing of personal data collected from health-related smartphone apps into our game platform. The information that this approach yields will be used to personalize the simulation model that drives the game.

Relevance for the patient

Together, this will allow the use of patient-gathered health data to make the diabetes game a realistic representation of the condition of the gamer.

This allows the gamer to play SugerVita-P4 using personal settings for improved educational value, since typically for diabetes, knowledge and skill is key to effectively self-manage their condition. We will provide support for the notion that playing SugarVita-P4 creates reward and motivation and is therefore more effective.

Relevance for society

We integrate the development of the game and the encompassing academic (data-processing and simulation) activities into the daily practice in diabetes care. We employ a development process that iteratively uses in-game observations to improve the approach to data-to-information-to-education flow.
Collectively, DiaGame can change the approach to diabetes care by using data sciences in support of a data-driven personal diabetes game. Ultimately, this will improve the quality of life for patients and lighten the socio-economic and medical burden that diabetes has.


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