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  • 1.
    Murmann, Patrick
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Eliciting Design Guidelines for Privacy Notifications in mHealth Environments2019In: International Journal of Mobile Human Computer Interaction, ISSN 1942-390X, E-ISSN 1942-3918, Vol. 11, no 4, p. 66-83Article in journal (Refereed)
    Abstract [en]

    The possibilities of employing mobile health (mhealth) devices for the purpose of self-quantification and fitness tracking are increasing, yet few users of online mhealth services possess proven knowledge of how their personal data are processed once the data have been disclosed. Ex post transparency-enhancing tools (TETs) can provide such insight and guide users in making informed decisions with respect to intervening with the processing of their personal data. At present, however, there are no suitable guidelines that aid designers of TETs in implementing privacy notifications that reflect their recipients’ needs in terms of what they want to be notified about and the level of guidance required to audit their data effectively. Based on an analysis of gaps related to TETs, the findings of a study on privacy notification preferences, and the findings on notifications and privacy notices discussed in the literature, this paper proposes a set of guidelines for the human-centred design of privacy notifications that facilitate ex post transparency.

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  • 2.
    Murmann, Patrick
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Towards Usable Transparency via Individualisation2019Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The General Data Protection Regulation grants data subjects the legal rights of transparency and intervenability. Ex post transparency provides users of data services with insight into how their personal data have been processed, and potentially clarifies what consequences will or may arise due to the processing of their data. Technological artefacts, ex post transparency-enhancing tools (TETs) convey such information to data subjects, provided the TETs are designed to suit the predisposition of their audience. Despite being a prerequisite for transparency, however, many of the TETs available to date lack usability in that their capabilities do not reflect the needs of their final users.

    The objective of this thesis is therefore to systematically apply the concept of human-centred design to ascertain design principles that demonstrably lead to the implementation of a TET that facilitates ex post transparency and supports intervenability. To this end, we classify the state of the art of usable ex post TETs published in the literature and discuss the gaps therein. Contextualising our findings in the domain of fitness tracking, we investigate to what extent individualisation can help accommodate the needs of users of online mobile health services. We introduce the notion of privacy notifications as a means to inform data subjects about incidences worthy of their attention and examine how far privacy personas reflect the preferences of distinctive groups of recipients. We suggest a catalogue of design guidelines that can serve as a basis for specifying context-sensitive requirements for the implementation of a TET that leverages privacy notifications to facilitate ex post transparency, and which also serve as criteria for the evaluation of a future prototype.

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  • 3.
    Murmann, Patrick
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Usable Transparency for Enhancing Privacy in Mobile Health Apps2018In: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, New York, NY, USA: Association for Computing Machinery (ACM), 2018, p. 440-442Conference paper (Refereed)
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    Murmann_2018
  • 4.
    Murmann, Patrick
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Tools for Achieving Usable Ex Post Transparency: A Survey2017In: IEEE Access, E-ISSN 2169-3536, Vol. 5, p. 22965-22991Article in journal (Refereed)
    Abstract [en]

    Transparency of personal data processing is a basic privacy principle and a right that is well acknowledged by data protection legislation, such as the EU general data protection regulation (GDPR). The objective of ex post transparency enhancing tools (TETs) is to provide users with insight about what data have been processed about them and what possible consequences might arise after their data have been revealed, that is, ex post. This survey assesses the state of the art in scientific literature of the usability of ex post TETs enhancing privacy and discusses them in terms of their common features and unique characteristics. The article first defines the scope of usable transparency in terms of relevant privacy principles for providing transparency by taking the GDPR as a point of reference, and usability principles that are important for achieving transparency. These principles for usable transparency serve as a reference for classifying and assessing the surveyed TETs. The retrieval and screening process of the publications is then described, as is the process for deriving the subsequent classification of the characteristics of the TETs. The survey not only looks into what is made transparent by the TETs but also how transparency is actually achieved. A main contribution of this survey is a proposed classification that assesses the TETs based on their functionality, implementation and evaluation as described in the literature. It concludes by discussing the trends and limitations of the surveyed TETs in regard to the defined scope of usable TETs and shows possible directions of future research for addressing these gaps. This survey provides researchers and developers of privacy enhancing technologies an overview of the characteristics of state of the art ex post TETs, on which they can base their work.

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    Murmann_Fischer-Hübner
  • 5.
    Murmann, Patrick
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Usable Transparency Enhancing Tools: A Literature Review2017Report (Other academic)
    Abstract [en]

    This technical report documents the procedure of a literature review conducted on usable ex post-transparency enhancing tools (TETs). The review of scientific literature serves the purpose of providing insight into the characteristics of existing implementations of usable TETs. By providing a concise summary of existing implementations, the report aims to facilitate future research on the subject matter.

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    fulltext
  • 6.
    Murmann, Patrick
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Reinhardt, Delphine
    University of Göttingen, Germany.
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    To Be, or Not to Be Notified: Eliciting Privacy Notification Preferences for Online mHealth Services2019In: ICT Systems Security and Privacy Protection / [ed] Gurpreet Dhillon, Fredrik Karlsson, Karin Hedström, André Zúquete, Springer, 2019, p. 209-222Conference paper (Refereed)
    Abstract [en]

    Millions of people are tracking and quantifying their fitness and health, and entrust online mobile health (mhealth) services with storing and processing their sensitive personal data. Ex post transparency-enhancing tools (TETs) enable users to keep track of how their personal data are processed, and represent important building blocks to understand privacy implications and control one’s online privacy. Particularly, privacy notifications provide users of TETs with the insight necessary to make informed decision about controlling their personal data that they have disclosed previously. To investigate the notification preferences of users of online mhealth services, we conducted an online study. We analysed how notification scenarios can be grouped contextually, and how user preferences with respect to being notified relate to intervenability. Moreover, we examined to what extent ex post notification preferences correlate with privacy personas established in the context of trust in and reliability of online data services. Based on our findings, we discuss the implications for the design of usable ex post TETs.

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    fulltext
  • 7.
    Schlehahn, Eva
    et al.
    Kiel Germany.
    Murmann, Patrick
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Karegar, Farzaneh
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Opportunities and Challenges of Dynamic Consent in Commercial Big Data Analytics2020In: Privacy and Identity Management. Data for Better Living: AI and Privacy, Proceedings of the IFIP Summer School / [ed] M. Friedewald, M. Önen, E. Lievens, S. Krenn, and S. Fricker, Springer, 2020, p. 29-44Conference paper (Refereed)
    Abstract [en]

    In the context of big data analytics, the possibilities and demands of online data services may change rapidly, and with it change scenarios related to the processing of personal data. Such changes may pose challenges with respect to legal requirements such as a transparency and consent, and therefore call for novel methods to address the legal and conceptual issues that arise in its course. We define the concept of ‘dynamic consent’ as a means to meet the challenge of acquiring consent in a commercial use case that faces change with respect to re-purposing the processing of personal data with the goal to implement new data services. We present a prototypical implementation that facilitates incremental consent forms based on dynamic consent. We report the results gained via two focus groups which we used to evaluate our design, and derive from our findings implications for future directions.

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