Constrained personalization of smart health apps

When personalization of apps on smart phones takes place automatically it is possible that certain undesired behaviour is shown, e.g. inappropriate feedback or suggestions for interventions. This could be harmful for users which needs to be avoided. In this project, we aim to develop techniques to personalize within certain boundaries. We also consider this from a software architecture perspective and also study the consequences for the users.
This project is a collaboration with the Software and Services Group of the VU (Patricia Lago and Ivano Malavolta).

Partner

[Homepage Software and Services Group]

Team

Eoin Grua

PhD Student

Eoin Grua

Dr. Mark Hoogendoorn

Assistent Professor

Dr. Mark Hoogendoorn

Prof. dr. Guszti Eiben

Head of the Group

Prof. dr. Guszti Eiben