From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations
Open accessAbstract
Online medical consultation platforms, while convenient, are undermined by significant privacy risks that erode user trust. We first conducted in-depth semi-structured interviews with 12 users to understand their perceptions of security and privacy landscapes on online medical consultation platforms, as well as their practices, challenges and expectation. Our analysis reveals a critical disconnect between users' desires for anonymity and control, and platform realities that offload the responsibility of "privacy labor". To bridge this gap, we present SafeShare, an interaction technique that leverages localized LLM to redact consultations in real-time. SafeShare balances utility and privacy through selectively anonymize private information. A technical evaluation of SafeShare's core PII detection module on 3 dataset demonstrates high efficacy, achieving 89.64% accuracy with Qwen3-4B on IMCS21 dataset.
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Increasing user control can potentially diminish the user's sense of agency.
“This approach, however, introduces a known trade-off: increasing user control can also increase cognitive load and privacy fatigue [8], potentially diminishing the user's sense of agency [42,43].”
From Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory (2025) · cites this paper as [43]
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Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
Zhang, S., Ma, R., Ma, Y., Li, S., Xu, Y., Yi, X., & Li, H. (2025) · Proceedings of the 2025 Workshop on Human-Centered AI Privacy and Security · doi:10.1145/3733816.3760750 · Cited by 6 · see citing works
“This approach, however, introduces a known trade-off: increasing user control can also increase cognitive load and privacy fatigue [8], potentially diminishing the user’s sense of agency [42, 43].”
Self-citation
- Authors
- Zhang, S., Ma, Y., Hu, Y. '., Dang, T., Jia, H., Yi, X., & Li, H.
- Affiliations
- Tsinghua University (CN)
- The University of Melbourne (AU)
- National University of Singapore (SG)
- University of Auckland (NZ)
- Venue
- Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing
- Publisher
- ACM
- Published
- 2025-10-12
- Pages
- 1597-1604
- OpenAlex
- W7117449007
- Cited by
- 0
- References
- 29
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Dignity and Privacy
- Keywords
- online medical consultation, privacy, anonymity, personal information detection, user trust, health data protection
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