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

Beierle, Felix and Tran, Vinh Thuy and Allemand, Mathias and Neff, Patrick and Schlee, Winfried and Probst, Thomas and Pryss, Rüdiger and Zimmermann, Johannes (2018) TYDR – Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data. In: ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft '18), May 27 – 28, Gothenburg, Sweden.

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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. In this paper, we highlight our approaches in addressing the challenges in developing such an app. We optimize the tracking of sensor data by assessing the
trade-off of size of data and battery consumption and granularity of the stored information. Our user interface is designed to incentivize users to install the app and fill out questionnaires. TYDR processes and visualizes the tracked sensor and usage data as well as the results of the personality questionnaires. When developing an app that will be used in psychological studies, requirements posed by
ethics commissions / institutional review boards and data protection officials have to be met. We detail our approaches concerning those requirements regarding the anonymized storing of user data, informing the users about the data collection, and enabling an optout option. We present our process for anonymized data storing while still being able to identify individual users who successfully
completed a psychological study with the app.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Ruediger Pryss
Date Deposited: 23 Jul 2018 14:26
Last Modified: 13 Mar 2020 13:29
URI: http://dbis.eprints.uni-ulm.de/id/eprint/1642

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