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Evaluating User Perceptions of Privacy Protection in Smart Healthcare Services
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-9925-1592
Number of Authors: 42025 (English)In: SECURWARE 2025: The 19th International Conference on Emerging Security Information, Systems and Technologies / [ed] Alexander Lawall; Fan Wu, International Academy, Research and Industry Association (IARIA) , 2025, p. 132-138Conference paper, Published paper (Refereed)
Abstract [en]

As smart healthcare services rapidly evolve, ensuring user privacy has become a critical concern. While prior research has focused extensively on technical solutions, the user perspective on privacy protection remains underexplored. This study addresses that gap by examining how users perceive both technical and organizational privacy protection measures across four smart healthcare service types: wearable devices, mobile health apps, telehealth platforms, and medicine delivery systems. Through qualitative survey, the study uncovers a duality in user perceptions. Positive perceptions relate to multi-layer technical safeguards, regulatory oversight (e.g., General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and proactive provider practices, such as transparent privacy policies and breach responses. On the other hand, negative perceptions center on lack of transparency, limited user control, forced consent to privacy terms, and both cognitive and operational barriers to engaging with privacy features. These findings reveal a critical imbalance in user-provider power dynamics and call for user-centric privacy strategies that balance protection with usability. The study contributes to theoretical advancements in privacy calculus, Technology Acceptance Model (TAM), and Unified Theory of Acceptance and Use of Technology (UTAUT) by refining constructs, such as perceived control, facilitating conditions, and transparency. Practical recommendations are offered to guide more inclusive, adaptable, and empowering privacy solutions in smart healthcare contexts.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA) , 2025. p. 132-138
Series
International Conference on Emerging Security Information, Systems and Technologies, E-ISSN 2162-2116
Keywords [en]
Privacy protection measures, privacy-preserving techniques, smart healthcare, users’ perception.
National Category
Computer Sciences
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-250023ISBN: 9781685583064 (electronic)OAI: oai:DiVA.org:su-250023DiVA, id: diva2:2017175
Conference
SECURWARE 2025,The 19th International Conference on Emerging Security Information, Systems and Technologies, 26-30 October, 2025, Barcelona, Spain.
Available from: 2025-11-27 Created: 2025-11-27 Last updated: 2025-12-03Bibliographically approved

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Seid, EliasLi, YuhongBlix, Fredrik

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Citation style
  • apa
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Language
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  • asciidoc
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