research-article

Exploring user preferences for privacy interfaces in mobile sensing applications

Authors:

Delphine Christin,

Andreas Reinhardt,

Matthias Hollick,

Kai TrumpoldAuthors Info & Claims

MUM '12: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia

Article No.: 14, Pages 1 - 10

https://doi.org/10.1145/2406367.2406385

Published: 04 December 2012 Publication History

Abstract

By leveraging smartphones as sensing platforms, mobile sensing applications can collect information in an unprecedented quantity and granularity. The transmission of unprocessed sensor readings can, however, pose severe threats to the users' privacy. To protect their privacy, users can apply filters to eliminate privacy-sensitive elements of the sensor readings prior to transmission. The resulting privacy protection depends on the configuration of these filters, which is controlled by the users through a privacy interface. In this paper, we study interface elements for the realization of this interface in order to foster its acceptance and maximize the efficacy of the provided privacy protection. To this end, we have implemented six graphical privacy interfaces, which have been evaluated by 80 participants of our user study. The results show a preference of the users towards differently colored and sized elements to visualize the current level of privacy protection and define their preferred privacy settings.

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Cited By

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
Rahul Rajesh MKumar BKumar RPeddakrishna SDian F(2022)Study on Recent disputed of Internet of Things (IoT) in Wearable Technologies2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)10.1109/AISP53593.2022.9760593(1-4)Online publication date: 12-Feb-2022
https://doi.org/10.1109/AISP53593.2022.9760593
Zhang HIbrahim AParsia BPoliakoff EHarper S(2022)Passive social sensing with smartphones: a systematic reviewComputing10.1007/s00607-022-01112-2105:1(29-51)Online publication date: 12-Aug-2022
https://doi.org/10.1007/s00607-022-01112-2
Show More Cited By

Index Terms

Exploring user preferences for privacy interfaces in mobile sensing applications

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Published In

cover image ACM Other conferences

MUM '12: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia

December 2012

383 pages

ISBN:9781450318150

DOI:10.1145/2406367

General Chair:
Enrico Rukzio
Ulm University, Germany

Copyright © 2012 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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University of Duisburg-Essen

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 04 December 2012

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MUM '12

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MUM '12: 11th International Conference on Mobile and Ubiquitous Multimedia

December 4 - 6, 2012

Ulm, Germany

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Overall Acceptance Rate 190 of 465 submissions, 41%

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Citations

Cited By

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
Rahul Rajesh MKumar BKumar RPeddakrishna SDian F(2022)Study on Recent disputed of Internet of Things (IoT) in Wearable Technologies2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)10.1109/AISP53593.2022.9760593(1-4)Online publication date: 12-Feb-2022
https://doi.org/10.1109/AISP53593.2022.9760593
Zhang HIbrahim AParsia BPoliakoff EHarper S(2022)Passive social sensing with smartphones: a systematic reviewComputing10.1007/s00607-022-01112-2105:1(29-51)Online publication date: 12-Aug-2022
https://doi.org/10.1007/s00607-022-01112-2
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
Kitkowska AShulman YMartucci LWastlund E(2020)Psychological Effects and Their Role in Online Privacy Interactions: A ReviewIEEE Access10.1109/ACCESS.2020.29695628(21236-21260)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2969562
Raber FKrüger A(2019)OmniWedges: Improved Radar-Based Audience Selection for Social NetworksHuman-Computer Interaction – INTERACT 201910.1007/978-3-030-29390-1_56(654-658)Online publication date: 23-Aug-2019
https://doi.org/10.1007/978-3-030-29390-1_56
Raber FKruger A(2018)Deriving Privacy Settings for Location Sharing: Are Context Factors Always the Best Choice?2018 IEEE Symposium on Privacy-Aware Computing (PAC)10.1109/PAC.2018.00015(86-94)Online publication date: Sep-2018
https://doi.org/10.1109/PAC.2018.00015
Reinhardt DDürr F(2018)Opportunities and Risks of Delegating Sensing Tasks to the CrowdHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_6(129-165)Online publication date: 27-Oct-2018
https://doi.org/10.1007/978-3-319-98161-1_6
Raber FVossebein N(2017)URetail16th IFIP TC 13 International Conference on Human-Computer Interaction --- INTERACT 2017 - Volume 1051610.1007/978-3-319-68059-0_54(473-477)Online publication date: 25-Sep-2017
https://dl.acm.org/doi/10.1007/978-3-319-68059-0_54
Christin DEngelmann FHollick M(2014)Usable Privacy for Mobile Sensing ApplicationsProceedings of the 8th IFIP WG 11.2 International Workshop on Information Security Theory and Practice. Securing the Internet of Things - Volume 850110.1007/978-3-662-43826-8_7(92-107)Online publication date: 2-Jul-2014
https://dl.acm.org/doi/10.1007/978-3-662-43826-8_7
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