A two-pillar approach to analyze the privacy policies and resource access behaviors of mobile augmented reality applications

  • Augmented reality (AR) gained much public attention since the success of Pok´emon Go in 2016. Technology companies like Apple or Google are currently focusing primarily on mobile AR (MAR) technologies, i.e. applications on mobile devices, like smartphones or tablets. Associated privacy issues have to be investigated early to foster market adoption. This is especially relevant since past research found several threats associated with the use of smartphone applications. Thus, we investigate two of the main privacy risks for MAR application users based on a sample of 19 of the most downloaded MAR applications for Android. First, we assess threats arising from bad privacy policies based on a machine-learning approach. Second, we investigate which smartphone data resources are accessed by the MAR applications. Third, we combine both approaches to evaluate whether privacy policies cover certain data accesses or not. We provide theoretical and practical implications and recommendations based on our results.

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Author:David Harborth, Majid Hatamian, Welderufael Berhane TesfayGND, Kai RannenbergGND
URN:urn:nbn:de:hebis:30:3-545424
DOI:https://doi.org/10.5281/zenodo.1484307
ISBN:978-0-9981331-2-6
Parent Title (English):52nd Hawaii International Conference on System Sciences 2019 (HICSS 2019), Maui, Hawaii, 08-11 January 2019
Document Type:Conference Proceeding
Language:English
Year of Completion:2018
Date of first Publication:2018/11/12
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Creating Corporation:52nd Hawaii International Conference on System Sciences 2019 (HICSS 2019), Maui, Hawaii, 08-11 January 2019
Release Date:2020/03/30
Page Number:10
Note:
License (for files): Creative Commons Attribution 4.0 International
Note:
Später erschienen in: Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, Honolulu, HI : University of Hawai'i at Manoa, [2019], S. 5029-5038, ISBN 978-0-9981331-2-6
HeBIS-PPN:463994590
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0