TYDR – Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the app, we aim at collecting data for researching correlations between the tracked smartphone data and the user’s personality in order to predict personality from smartphone data. We highlight our approaches … Read more

Towards Psychometrics-based Friend Recommendations in Social Networking Services

Two of the defining elements of Social Networking Services are the social profile, containing information about the user, and the social graph, containing information about the connections between users. Social Networking Services are used to connect to known people as well as to discover new contacts. Current friend recommendation mechanisms typically utilize the social graph. … Read more

Privacy-aware Social Music Playlist Generation

Listen to the music according to the taste of the people around you! We developed a system and implemented a mobile Android prototype and server system. We presented this work as a paper at the IEEE ICC 2016. You can find the full paper here (PDF). Two of the most popular applications of smartphones are … Read more

Towards a Three-tiered Social Graph in Decentralized Online Social Networks

We developed an approach and a software architecture for decentralized social networking services, focusing on the central role of the smartphone. We presented this work as a paper at the HotPOST 2015 workshop (co-located with ACM MobiHoc 2015) and received the Best Paper Runner-Up award! You can find the full paper here (PDF). Online Social … Read more