At the latest WF-IoT 2015 Conference, in Milan (Italy), Teodoro Montanaro presented a paper entitled A Context and User Aware Smart Notification System. Nowadays, an increasing number of notifications demands our attention through our smartphone and tablet screens. If we consider an IoT-powered environment, each connected device and service would like to communicate something to the people that lives in that environment, thus sending us more and more notifications. Building upon this consideration, the paper analyzes a machine learning approach to better manage the delivery of such notifications, and present a system architecture able to filter incoming notifications depending on notification type, sender and receiver, environmental status, user activities and habits.

The ambitious final goal of the system, in fact, will be to provide the right notification, to the most appropriate person and device, in the most adequate place, moment, and modality.

In order to achieve the first presented future work, we developed an Android 5.x app that collects information about:

• Incoming notification info (no content)
• User current activity
• User current location
• Device status
• User feedback

If you want to contribute you can donwload the beta version of the app using the following link: https://goo.gl/pLMWSG

Look at paper details on ResearchGate or browse the presentation slides.