Self-Assessment of Having COVID-19 With the Corona Check mHealth App

At the beginning of the COVID-19 pandemic, with a lack of knowledge about the novel virus and a lack of widely available tests, getting first feedback about being infected was not easy. To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported questionnaire about symptoms and … Read more

Corona Health – A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic

Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, … Read more

Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform

Through lockdowns and other severe changes to daily life, almost everyone is affected by the COVID-19 pandemic. Scientists and medical doctors are – among others – mainly interested in researching, monitoring, and improving physical and mental health of the general population. Mobile health apps (mHealth), and apps conducting ecological momentary assessments (EMA) respectively, can help … Read more

MobRec – Mobile Platform for Decentralized Recommender Systems

Imagine getting recommendations, for example, for music or TV shows, based on similar people you pass by on the street. No server backend needed, all via device-to-device communication. We designed and implemented such a system. You can find our full article published in IEEE Access here (PDF) and the code on GitHub. We build the … Read more

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