Felix Beierle 
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
We presented TYDR and our first research results based on the collected data at the Long Night of Science in Berlin (German: Lange Nacht der Wissenschaften). Many visitors from all walks of life were curious to learn more about the app and our results. Additionally, we presented IC4F (Industrial Communication for Factories). For a non-technical … Read more
Expanding our earlier work on choice overload in related-article recommendations, we analyzed a digital library to figure out the ideal number of recommendations to show to users. Some of our metrics point toward 5-6 items as the ideal number of recommendations to display. You can find the full paper here (PDF). Choice Overload describes a … Read more
I had the chance to present my work around TYDR and preliminary results from the data we are collecting at an event of Berlin Science Talk.
I got invited by Prof. Mathias Allemand to present my research relating to TYDR at the University of Zurich. It was great to present my work and receive more input before the official release of the app. Thanks for the invitation!
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 presented TYDR at the Long Night of Science in Berlin (German: Lange Nacht der Wissenschaften). Many visitors from all walks of life were curious to learn more about our app and try the latest beta on our presentation phones. Their feedback will help use refine the app before we are releasing it on Google … 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
