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How Developers Make Design Decisions about Users' Privacy: The Place of Professional Communities and Organizational Climate

Authors:

Oshrat Ayalon,

Eran Toch,

Irit Hadar,

Michael BirnhackAuthors Info & Claims

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 135 - 138

https://doi.org/10.1145/3022198.3026326

Published: 25 February 2017 Publication History

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Abstract

New technologies continuously challenge people's information privacy, while privacy protection practices, such as Privacy-by-Design, did not become widespread engineering practices. The difficulty of designing privacy-preserving information systems highlights the need for studying developers' privacy decision-making processes, as the developers' communities are well coordinated and they are the ones who can promote or hinder privacy in the systems they design. We conducted an online survey (n=101), to understand the effectors on developers' professional privacy attitudes and practices. We investigate whether developer's privacy decision-making is shaped by several factors, including organizational (organizational privacy climate, business and legal contexts), professional (privacy knowledge) and personal (personal perceived privacy).

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Cited By

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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
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
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
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Index Terms

How Developers Make Design Decisions about Users' Privacy: The Place of Professional Communities and Organizational Climate
1. Social and professional topics
  1. Computing / technology policy

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Information & Contributors

Information

Published In

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

472 pages

ISBN:9781450346887

DOI:10.1145/3022198

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2017

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Poster

Funding Sources

Israel Science Foundation (ISF)

Conference

CSCW '17

Sponsor:

SIGCHI

CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

Acceptance Rates

CSCW '17 Companion Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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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
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
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
Abomhara MNweke LYayilgan SComparin DTeyras Kde Labriolle S(2024)Enhancing privacy protections in national identification systems: an examination of stakeholders’ knowledge, attitudes, and practices of privacy by designInternational Journal of Information Security10.1007/s10207-024-00905-023:6(3665-3689)Online publication date: 3-Sep-2024
https://doi.org/10.1007/s10207-024-00905-0
Candra ASudiro ASusilowati C(2023)The relationship between work professionalism and job satisfaction toward employee performance in mediating of organizational climateInternational Journal of Research in Business and Social Science (2147- 4478)10.20525/ijrbs.v12i2.238012:2(177-186)Online publication date: 25-Mar-2023
https://doi.org/10.20525/ijrbs.v12i2.2380
Nurgalieva LFrik ADoherty G(2023)A Narrative Review of Factors Affecting the Implementation of Privacy and Security Practices in Software DevelopmentACM Computing Surveys10.1145/358995155:14s(1-27)Online publication date: 4-Apr-2023
https://dl.acm.org/doi/10.1145/3589951
Alhirabi NBeaumont SLlanos JMeedeniya DRana OPerera C(2023)PARROTProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808807:1(1-37)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580880
Kühtreiber PPak VReinhardt D(2023)“A method like this would be overkill”: Developers’ Perceived Issues with Privacy-preserving Computation Methods2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom60117.2023.00145(1041-1048)Online publication date: 1-Nov-2023
https://doi.org/10.1109/TrustCom60117.2023.00145
Iwaya LBabar MRashid A(2023)Privacy Engineering in the Wild: Understanding the Practitioners’ Mindset, Organizational Aspects, and Current PracticesIEEE Transactions on Software Engineering10.1109/TSE.2023.329023749:9(4324-4348)Online publication date: Sep-2023
https://doi.org/10.1109/TSE.2023.3290237
Tahaei MBernd JRashid A(2022)Privacy, Permissions, and the Health App Ecosystem: A Stack Overflow ExplorationProceedings of the 2022 European Symposium on Usable Security10.1145/3549015.3555669(117-130)Online publication date: 29-Sep-2022
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