Context Data Categories and Privacy Model for Mobile Data Collection Apps

5Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

Abstract

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 data and personality, we developed the Android app TYDR (Track Your Daily Routine) which tracks smart-phone data and utilizes psychometric personality questionnaires. With TYDR, we track a larger variety of smartphone data than similar existing apps, including metadata on notifications, photos taken, and music played back by the user. For the development of TYDR, we introduce a general context data model consisting of four categories that focus on the user's different types of interactions with the smartphone: physical conditions and activity, device status and usage, core functions usage, and app usage. On top of this, we develop the privacy model PM-MoDaC specifically for apps related to the collection of mobile data, consisting of nine proposed privacy measures. We present the implementation of all of those measures in TYDR. Although the utilization of the user's personality based on the usage of his or her smartphone is a challenging endeavor, it seems to be a promising approach for various types of context-aware mobile applications.

Cite

CITATION STYLE

APA

Beierle, F., Tran, V. T., Allemand, M., Neff, P., Schlee, W., Probst, T., … Zimmermann, J. (2018). Context Data Categories and Privacy Model for Mobile Data Collection Apps. In Procedia Computer Science (Vol. 134, pp. 18–25). Elsevier B.V. https://doi.org/10.1016/j.procs.2018.07.139

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free