David Massimo

Health-aware Food Recommender System

With the rapid changes in the food variety and lifestyles, many people are facing the problem of making healthier food decisions to reduce the risk of chronic diseases such as obesity and diabetes. To this end, our recommender system not only offers recipe recommendations that suit the users preference but is also able to take the users health into account. It is developed on a mobile platform by considering that our application may be directly used in the kitchen. This demo paper summarizes the complete human-computer interaction design, the implemented health-aware recommendation algorithm and preliminary user feedback.

Tangible Tourism with the Internet of Things

The Internet of Things (IoT) enables new ways for exploiting the synergy between the physical and the digital world and therefore promises a more direct and active interaction between tourists and local products and places. In this article we show how, by distributing sensors/actuators in the environment or attaching them to objects, one can sense, trace and respond to users’ actions onsite. Our research method analysis specific scenarios (case studies) of tangible interaction. We first discuss important issues, which were identified in these scenarios, and are related to log analysis, system usability, and extended models for learning user preferences. Then, the lessons learned in these specific cases have informed the constructive design of a wider scope infrastructure, which is here described and motivated. We envisage the tight integration of localized IoT solutions into a comprehensive mobile information system for tourism.