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  4. Out of Sight, Out of Mind? Exploring Data Protection Practices for Personal Data in Usable Security & Privacy Studies
 
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2025
Conference Paper
Title

Out of Sight, Out of Mind? Exploring Data Protection Practices for Personal Data in Usable Security & Privacy Studies

Abstract
Adherence to data protection measures such as pseudonymization or anonymization is critical in human subjects research because it has a direct impact on the confidentiality of participants' sensitive information, trust in research practices, and compliance with ethical and legal standards. Regulations such as the General Data Protection Regulation (GDPR) and guarantees made by researchers in informed consent forms mandate strict protocols for data security. However, compliance with these is not always straightforward. To gain qualitative insights into data protection practices in the field of Usable Security and Privacy (USP), we conducted interviews with 22 practitioners (five professors, eight researchers, nine data protection officers) and one focus group with five researchers. Overall, our results show a high awareness of ethical and legal responsibilities but highlight many practical and procedural issues. Based on these, we make concrete recommendations on how to improve the protection of personal data in research.
Author(s)
Martius, Florin
Universität Bonn
Jansen, Luisa
University of Bern
Struck, Lukas
Universität Bonn
Arumugam, Arthi
Universität Bonn
Geierhaas, Lisa
Universität Bonn
Ortloff, Anna Marie
Universität Bonn
Smith, Matthew B.  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Tiefenau, Christian
Universität Bonn
Mainwork
Conference on Human Factors in Computing Systems Proceedings
Funder
Siemens
Conference
2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Open Access
DOI
10.1145/3706598.3713654
Additional link
Full text
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Keyword(s)
  • Ethics

  • Human Subjects Research

  • Personal Data Handling

  • Usable Security and Privacy

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