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Should I Agree?: Delegating Consent Decisions Beyond the Individual

Authors:

Bettina Nissen,

Victoria Neumann,

Mateusz Mikusz,

Nigel DaviesAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 515, Pages 1 - 13

https://doi.org/10.1145/3290605.3300745

Published: 02 May 2019 Publication History

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Abstract

Obtaining meaningful user consent is increasingly problematic in a world of numerous, heterogeneous digital services. Current approaches (e.g. agreeing to Terms and Conditions) are rooted in the idea of individual control despite growing evidence that users do not (or cannot) exercise such control in informed ways. We consider an alternative approach whereby users can opt to delegate consent decisions to an ecosystem of third-parties including friends, experts, groups and AI entities. We present the results of a study that used a technology probe at a large festival to explore initial public responses to this reframing -- focusing on when and to whom users would delegate such decisions. The results reveal substantial public interest in delegating consent and identify differing preferences depending on the privacy context, highlighting the need for alternative decision mechanisms beyond the current focus on individual choice.

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Cited By

Simms HSurana AGuerrero Millan CAvlona NBennett SLuger ENissen B(2024)Data of/by/for the People: Designing Participatory Approaches to Data GovernanceCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3658402(405-408)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656156.3658402
McInnis BPindus RKareem DGamboa SNebeker C(2024)Exploring the Future of Informed Consent: Applying a Service Design ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36373308:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637330
Zhou HGoel MAgarwal Y(2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
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Index Terms

Should I Agree?: Delegating Consent Decisions Beyond the Individual
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Field studies

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Cited By

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https://dl.acm.org/doi/10.1145/3656156.3658402
McInnis BPindus RKareem DGamboa SNebeker C(2024)Exploring the Future of Informed Consent: Applying a Service Design ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36373308:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637330
Zhou HGoel MAgarwal Y(2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642897
Fischer-Hübner SKaregar FFischer-Hübner SKaregar F(2024)Challenges of Usable PrivacyThe Curious Case of Usable Privacy10.1007/978-3-031-54158-2_4(103-131)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-3-031-54158-2_4
Khandelwal RNayak AHarkous HFawaz KCalandrino JTroncoso C(2023)Automated cookie notice analysis and enforcementProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620300(1109-1126)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620300
Knowles BConchie S(2023)Un-Paradoxing Privacy: Considering Hopeful TrustACM Transactions on Computer-Human Interaction10.1145/360932930:6(1-24)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3609329
Seymour WCote MSuch J(2023)Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice AssistantsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580967(1-16)Online publication date: 19-Apr-2023
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Filipczuk DBaarslag TGerding Eschraefel m(2022)Automated privacy negotiations with preference uncertaintyAutonomous Agents and Multi-Agent Systems10.1007/s10458-022-09579-136:2Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s10458-022-09579-1
Gorkovenko KMurray-Rust D(2022)User Perspectives on the Acceptability of Realtime Data Capture for Design Research by Connected Products[ ] With Design: Reinventing Design Modes10.1007/978-981-19-4472-7_144(2201-2221)Online publication date: 6-Nov-2022
https://doi.org/10.1007/978-981-19-4472-7_144
Meurisch CMühlhäuser M(2021)Data Protection in AI ServicesACM Computing Surveys10.1145/344075454:2(1-38)Online publication date: 5-Mar-2021
https://dl.acm.org/doi/10.1145/3440754
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