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To Be, or Not to Be Notified: Eliciting Privacy Notification Preferences for Online mHealth Services
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
University of Göttingen, Germany.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-6938-4466
2019 (English)In: ICT Systems Security and Privacy Protection / [ed] Gurpreet Dhillon, Fredrik Karlsson, Karin Hedström, André Zúquete, Springer, 2019, p. 209-222Conference paper, Published 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.

Place, publisher, year, edition, pages
Springer, 2019. p. 209-222
Keywords [en]
privacy, transparency-enhancing tool, usability, personas, mhealth
National Category
Human Computer Interaction Other Computer and Information Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-74439DOI: 10.1007/978-3-030-22312-0_15ISBN: 978-3-030-22312-0 (print)OAI: oai:DiVA.org:kau-74439DiVA, id: diva2:1344538
Conference
34th IFIP TC 11 International Conference, SEC 2019, Lisbon, Portugal, June 25-27, 2019
Available from: 2019-08-21 Created: 2019-08-21 Last updated: 2019-08-23

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fulltext(319 kB)48 downloads
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Murmann, PatrickFischer-Hübner, Simone

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CiteExportLink to record
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Citation style
  • apa
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