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results can be adapted based on the users' preferred language and other personal
contexts such as the users' location or pre-existing medical conditions. The under-
lying technology of this system is a health ontology that has been introduced in this
chapter. Relevant information is retrieved by exploiting semantic relations between
different concepts in this ontology. In order to evaluate the usability of this system,
we followed a qualitative analysis scheme. Discussions in a focus group following
this evaluation indicate that the system can be employed to assist immigrants to find
information in their own and in the host nations' language.
The second part of the system, the prevention service, consists of two parts.
The first part is a cooking assistant that, based on users' profiles, assists the users in
selecting healthy food as well as in preparing the meal. Apart from providing detailed
information about the ingredients of various dishes, the system recommends meals
on the users' individual requirements. The system provides a step-by-step guide
on how to prepare the meal and allows the user to control the home appliances
needed for cooking. Moreover, the prevention service offers an activity assistant that
motivates users to perform exercises in a fun setting. Choosing from different virtual
trainers, users have to repeat physical exercises. Users can earn points by accurately
performing these exercises.
Acknowledgments This work was funded by the Federal Ministry of Education and Research
(BMBF) under funding reference number 01IS10055A-C.
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