The clash of service provider and service user expectations: how causal models highlight stakeholder data-protection tussles
The clash of service provider and service user expectations: how causal models highlight stakeholder data-protection tussles
Data Protection regulation seeks to support data subjects to control their personal data. A lack of such control poses a significant risk to their privacy and may undermine the data subject’s trust in the provider. To achieve this, it imposes certain obligations on those providing services to data subjects which requires the processing of their personal data. Compliance with regulation, including security standards,would demonstrate provider trustworthiness, it is assumed. In so doing,this would encourage users to engage. But how are those users supposed to know the provider is compliant? Further, how will the provider manage their data? The assumption is that a provider’s privacy notice is a suitable communication vehicle for this purpose. In this study, we challenge this view. Using causal models to visualise both service provider and service user decision making around interaction, we maintain there to be a mismatch between the expectations of the two: a tussle which cannot be resolved through regulatory compliance, but a better understanding of service user privacy attitudes.
Privacy, Data protection, Causal Models, Tussles, SMEs,Regulatory Busines, Funding Pathways for African SMEs,s Environment, ,
Pickering, Brian
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Fair, Nic
743fd34e-7e2b-42d0-818e-1db641e789be
Phillips, Stephen C.
47610c30-a543-4bac-a96a-bc1fce564a59
Shearer, Dan
160e3f93-3d96-4ed6-9108-9a1ee05d716d
July 2024
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Fair, Nic
743fd34e-7e2b-42d0-818e-1db641e789be
Phillips, Stephen C.
47610c30-a543-4bac-a96a-bc1fce564a59
Shearer, Dan
160e3f93-3d96-4ed6-9108-9a1ee05d716d
Pickering, Brian, Fair, Nic, Phillips, Stephen C. and Shearer, Dan
(2024)
The clash of service provider and service user expectations: how causal models highlight stakeholder data-protection tussles.
HCI International 2023, , Washington, United States.
29 Jun - 04 Jul 2024.
14 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Data Protection regulation seeks to support data subjects to control their personal data. A lack of such control poses a significant risk to their privacy and may undermine the data subject’s trust in the provider. To achieve this, it imposes certain obligations on those providing services to data subjects which requires the processing of their personal data. Compliance with regulation, including security standards,would demonstrate provider trustworthiness, it is assumed. In so doing,this would encourage users to engage. But how are those users supposed to know the provider is compliant? Further, how will the provider manage their data? The assumption is that a provider’s privacy notice is a suitable communication vehicle for this purpose. In this study, we challenge this view. Using causal models to visualise both service provider and service user decision making around interaction, we maintain there to be a mismatch between the expectations of the two: a tussle which cannot be resolved through regulatory compliance, but a better understanding of service user privacy attitudes.
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Published date: July 2024
Venue - Dates:
HCI International 2023, , Washington, United States, 2024-06-29 - 2024-07-04
Keywords:
Privacy, Data protection, Causal Models, Tussles, SMEs,Regulatory Busines, Funding Pathways for African SMEs,s Environment, ,
Identifiers
Local EPrints ID: 487862
URI: http://eprints.soton.ac.uk/id/eprint/487862
PURE UUID: c2f1e9f8-d482-4778-a833-c5a2505485a3
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Date deposited: 07 Mar 2024 17:34
Last modified: 15 Jun 2024 01:44
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Contributors
Author:
Nic Fair
Author:
Stephen C. Phillips
Author:
Dan Shearer
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