Towards Understanding the Influence of Personality on Mobile App Permission Settings

Frederic Raber, Antonio Krüger

In: Regina Bernhaupt, Girish Dalvi, Anirudha Joshi, Devanuj K. Balkrishan, Jacki O'Neill, Marco Winckler (Hrsg.). Human-Computer Interaction -- INTERACT 2017: 16th IFIP TC 13 International Conference, Proceedings. IFIP Conference on Human-Computer Interaction (INTERACT-2017) 16th September 25-29 Mumbai India IV Seiten 62-82 ISBN 978-3-319-68059-0 Springer International Publishing Cham 2017.


In this paper we investigate the question whether users' personalities are good predictors for privacy-related permissions they would grant to apps installed on their mobile devices. We report on results of a large online study (n = 100) which reveals a significant correlation between the user's personality according to the big five personality scores, or the IUIPC questionnaire, and the app permission settings they have chosen. We used machine learning techniques to predict user privacy settings based on their personalities and consequently introduce a novel strategy that simplifies the process of granting permissions to apps.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence