Can we reduce waste and waist together through EUPHORIA?
Veranika Lim, Fulya Yalvaç, Mathias Funk, Jun Hu, Matthias Rauterberg · 2014
Food waste has received little attention in pervasive computing. In this paper we discuss previous work which stresses the need for understanding how intelligent technology could prevent food waste in households. We present EUPHORIA, a community based social system that can track users' food waste potential and redirect behavior, through social influence strategies, towards more sustainable food related practices. To promote social interaction, the system recommends social recipes based on available food from different users to prevent waste as well as to provide a new pleasurable experience around food. A mobile application will be developed in three phases. In the first phase, the application allow users to log and track food waste related behavior patterns. Next, it will provide eco-feedback and social visibility of own and other users' food related behavior. Finally, a social recipe recommendation will be implemented. Findings are expected to provide a better understanding of consumers' social behavior around food waste.