The COVID-19 pandemic not only affected the respiratory system, but, together with measures like social distancing, potentially affected the mental health of millions of people. What do Twitter (X) users talk about when they talk about #MentalHealth and #Depression? Did it change through the pandemic? We collected almost 3,000,000 tweets from more than 300,000 Twitter … Read more
My PhD thesis (full title: Integrating Psychoinformatics with Ubiquitous Social Networking: Advanced Mobile-Sensing Concepts and Applications) was published as a book with Springer. You can read a preview of the book here. You can buy from Springer directly, or get it via Amazon (for example, US, DE, JP).
Expanding on our earlier work on privacy in mobile sensing/data collection apps, we evaluated the data we collected with TYDR. Our experimental evaluation based on the first two month of data collected with TYDR shows evidence that our users accept our proposed privacy model. Based on data about granting TYDR all or no Android system … Read more
Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user’s personality. As filling out personality questionnaires is tedious, we propose the prediction of the user’s personality from smartphone sensor and usage data. In order to collect data for researching the relationship between smartphone … Read more
While existing social networking services tend to connect people who know each other, people show a desire to also connect to yet unknown people in physical proximity. Existing research shows that people tend to connect to similar people. Utilizing technology in order to stimulate human interaction between strangers, we consider the scenario of two strangers … Read more
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
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
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
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
