This focus area is devoted to the vision of a Virtual Dietary Advisor (VDA) to enable tailored, context-aware, and anticipatory dietary recommendations in order to sustain and improve healthy eating behavior. By following an iterative Design Science approach, evaluated requirements, methods, algorithms and design principles are developed as the building blocks for a future VDA. Therefore, this project builds on insights gained from the data collected through two apps, APPetite and Nutrilize (WP3-5), which were developed and released during funding period the enable Cluster.
Module 1 will develop methods for collecting and analyzing nutrition-relevant data to create comprehensive user profiles. Module 2 will develop advanced algorithms and data models for tailored, context-aware and anticipatory dietary recommendations, utilizing the comprehensive user profiles. Module 3 investigates features of the user interface of a VDA. It focuses on optimal ways of communication between a user and a VDA, such that burdens of usage (efforts) are limited and the related benefits are maximized. Following an iterative Design Science approach, prototypes of the different methods, algorithms and features are developed early and are enhanced according to the insights from the accompanying evaluations.