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Privacy Champions in Software Teams: Understanding Their Motivations, Strategies, and Challenges

Authors:

Mohammad Tahaei,

Kami VanieaAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 693, Pages 1 - 15

https://doi.org/10.1145/3411764.3445768

Published: 07 May 2021 Publication History

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Abstract

Software development teams are responsible for making and implementing software design decisions that directly impact end-user privacy, a challenging task to do well. Privacy Champions—people who strongly care about advocating privacy—play a useful role in supporting privacy-respecting development cultures. To understand their motivations, challenges, and strategies for protecting end-user privacy, we conducted 12 interviews with Privacy Champions in software development teams. We find that common barriers to implementing privacy in software design include: negative privacy culture, internal prioritisation tensions, limited tool support, unclear evaluation metrics, and technical complexity. To promote privacy, Privacy Champions regularly use informal discussions, management support, communication among stakeholders, and documentation and guidelines. They perceive code reviews and practical training as more instructive than general privacy awareness and on-boarding training. Our study is a first step towards understanding how Privacy Champions work to improve their organisation’s privacy approaches and improve the privacy of end-user products.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

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ISBN:9781450380966

DOI:10.1145/3411764

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Tohoku University, Japan
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University of California Santa Cruz, USA
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The University of Tokyo, Japan
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University of Copenhagen, Denmark
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Microsoft Research, USA

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Kitsiou ASideri MPantelelis MSimou SMavroeidi AVgena KTzortzaki EKalloniatis C(2025)Developers’ mindset on self-adaptive privacy and its requirements for cloud computing environmentsInternational Journal of Information Security10.1007/s10207-024-00943-824:1Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1007/s10207-024-00943-8
Karanassios CHadan HZhang-Kennedy LAssal H(2024)Towards Security-Focused Developer PersonasProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685406(1-18)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685406
Aljeraisy ARana OPerera C(2024)Empowering IoT Developers with Privacy-Preserving End-User Development ToolsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785888:3(1-47)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678588
Alhirabi NBeaumont SRana OPerera C(2024)Designing Privacy-Aware IoT Applications for Unregulated DomainsACM Transactions on Internet of Things10.1145/36484805:2(1-32)Online publication date: 23-Apr-2024
https://dl.acm.org/doi/10.1145/3648480
Grover R(2024)Encoding Privacy: Sociotechnical Dynamics of Data Protection Compliance WorkProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642872(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642872
Li TArya AJin H(2024)Redesigning Privacy with User Feedback: The Case of Zoom Attendee Attention TrackingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642594(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642594
Lee HYang YVon Davier TForlizzi JDas S(2024)Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy RisksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642116(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642116
Birrell ERodolitz JDing ALee JMcReynolds EHutson JLerner A(2024)SoK: Technical Implementation and Human Impact of Internet Privacy Regulations2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00206(673-696)Online publication date: 19-May-2024
https://doi.org/10.1109/SP54263.2024.00206
Herwanto GEkaputra FQuirchmayr GTjoa A(2024)Toward a Holistic Privacy Requirements Engineering Process: Insights From a Systematic Literature ReviewIEEE Access10.1109/ACCESS.2024.338088812(47518-47542)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3380888
Mcconkey ROlukoya O(2024)Runtime and Design Time Completeness Checking of Dangerous Android App Permissions Against GDPRIEEE Access10.1109/ACCESS.2023.334719412(1-22)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3347194
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