research-article

Raising User Awareness about Privacy Threats in Participatory Sensing Applications through Graphical Warnings

Authors:

Delphine Christin,

Martin Michalak,

Matthias HollickAuthors Info & Claims

MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia

Pages 445 - 454

https://doi.org/10.1145/2536853.2536861

Published: 02 December 2013 Publication History

Abstract

Mobile phones are increasingly leveraged as sensor platforms to collect information about user's context. The collected sensor readings can however reveal personal and sensitive information about the users and hence put their privacy at stake. In prior work, we have proposed different user interfaces allowing users to select the degree of granularity at which the sensor readings are shared in order to protect their privacy. In this paper, we aim at further increasing user awareness about potential privacy risks and investigate the introduction of picture-based warnings based on their current privacy settings. Depending on their privacy conception and the proposed warnings, users can then adapt their settings or leave them unchanged. We evaluate the picture-based warnings by conducting a user study involving 30 participants. The results show that more than 70% of the participants would change their settings after having seen the picture-based warnings.

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Cited By

Warin CSeeger DShams SReinhardt D(2024)PrivXR: A Cross-Platform Privacy-Preserving API and Privacy Panel for Extended Reality2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503341(417-420)Online publication date: 11-Mar-2024
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Raising User Awareness about Privacy Threats in Participatory Sensing Applications through Graphical Warnings

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cover image ACM Other conferences

MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia

December 2013

599 pages

ISBN:9781450321068

DOI:10.1145/2536853

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 December 2013

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MoMM '13: The 11th International Conference on Advances in Mobile Computing & Multimedia

December 2 - 4, 2013

Vienna, Austria

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Cited By

Warin CSeeger DShams SReinhardt D(2024)PrivXR: A Cross-Platform Privacy-Preserving API and Privacy Panel for Extended Reality2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503341(417-420)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerComWorkshops59983.2024.10503341
Alrayes FAbdelmoty AEl-Geresy W(2024)User profile visualisation for privacy awareness on Geo-Social NetworksJournal of Location Based Services10.1080/17489725.2024.2399512(1-35)Online publication date: 26-Sep-2024
https://doi.org/10.1080/17489725.2024.2399512
Pan YRuan YChang MLyu DLi Y(2024)Read or skip privacy policies when installing apps on wearable devices: the roles of perceived necessity and threat cluesHumanities and Social Sciences Communications10.1057/s41599-024-02989-411:1Online publication date: 24-May-2024
https://doi.org/10.1057/s41599-024-02989-4
Al Muhander BWiese JRana OPerera C(2023)Interactive Privacy Management: Toward Enhancing Privacy Awareness and Control in the Internet of ThingsACM Transactions on Internet of Things10.1145/36000964:3(1-34)Online publication date: 7-Jun-2023
https://dl.acm.org/doi/10.1145/3600096
Richter AKühtreiber PReinhardt D(2022)Enhanced Privacy in Smart Workplaces: Employees’ Preferences for Transparency Indicators and Control Interactions in the Case of Data Collection with Smart WatchesICT Systems Security and Privacy Protection10.1007/978-3-031-06975-8_3(34-50)Online publication date: 3-Jun-2022
https://doi.org/10.1007/978-3-031-06975-8_3
Kuhtreiber PReinhardt D(2021)Usable Differential Privacy for the Internet-of-Things2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops51409.2021.9431047(426-427)Online publication date: 22-Mar-2021
https://doi.org/10.1109/PerComWorkshops51409.2021.9431047
Soumelidou ATsohou A(2021)Towards the creation of a profile of the information privacy aware user through a systematic literature review of information privacy awarenessTelematics and Informatics10.1016/j.tele.2021.10159261(101592)Online publication date: Aug-2021
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Raber FKrüger A(2021)Transferring recommendations through privacy user models across domainsUser Modeling and User-Adapted Interaction10.1007/s11257-021-09307-632:1-2(25-90)Online publication date: 8-Nov-2021
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Tsohou ASoumelidou A(2021)Information Privacy AwarenessEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-642-27739-9_1484-1(1-3)Online publication date: 28-Jan-2021
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Hassib MAbdelmoteleb HKhamis M(2020)Are my Apps Peeking? Comparing Nudging Mechanisms to Raise Awareness of Access to Mobile Front-facing CameraProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428384(186-190)Online publication date: 22-Nov-2020
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