%0 Conference Proceedings
%T Towards Understanding the Influence of Personality on Mobile App Permission Settings
%+ Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI)
%A Raber, Frederic
%A Krueger, Antonio
%Z Part 1: Security and Trust
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Bombay, India
%Y Regina Bernhaupt
%Y Girish Dalvi
%Y Anirudha Joshi
%Y Devanuj K. Balkrishan
%Y Jacki O’Neill
%Y Marco Winckler
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2017
%V LNCS-10516
%N Part IV
%P 62-82
%8 2017-09-25
%D 2017
%R 10.1007/978-3-319-68059-0_4
%K Usable privacy
%K Mobile privacy
%K App privacy
%K Machine learning
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01679819/document
%2 https://inria.hal.science/hal-01679819/file/421765_1_En_4_Chapter.pdf
%L hal-01679819
%U https://inria.hal.science/hal-01679819
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-10516