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Structural and functional explanations for informing lay and expert users: the case of functional encryption
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).ORCID iD: 0000-0002-6509-3792
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-2823-3837
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Chalmers University of Technology, Sweden.ORCID iD: 0000-0002-6938-4466
2023 (English)In: Proceedings on Privacy Enhancing Technologies, E-ISSN 2299-0984, Vol. 2023, no 4, p. 359-380Article in journal (Refereed) Published
Abstract [en]

Usable explanations of privacy-enhancing technologies (PETs) help users make more informed privacy decisions, but the explanations of PETs are generally geared toward individuals with more technical knowledge. To explain functional encryption (FE) to experts and laypersons, we investigate structural and functional explanations and explore users' interests and preferences, as well as how they affect users' comprehension and decisions about sharing data. To this end (with an EU-based population), we conducted four focus groups, in combination with walk-throughs, with 13 participants in the first study, followed by an online survey with 347 experts and 370 laypersons. Both explanations were considered useful in fulfilling the different needs of participants interested in the privacy policy information. Participants, regardless of their expertise, trusted and were more satisfied with the structural explanation. However, functional explanations had a higher contribution to all participants' comprehension. We, therefore, recommend combining both types of explanations for a usable privacy policy.

Place, publisher, year, edition, pages
Privacy Enhancing Technologies Board , 2023. Vol. 2023, no 4, p. 359-380
Keywords [en]
functional encryption, functional & structural explanation, transparency, privacy, usability, user comprehension, mental models
National Category
Computer Sciences Information Systems
Research subject
Information Systems; Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-96542DOI: 10.56553/popets-2023-0115OAI: oai:DiVA.org:kau-96542DiVA, id: diva2:1793297
Conference
23rd Privacy Enhancing Technologies Symposium (PETS 2023), July 10–15, 2023. Lausanne, Switzerland and Online.
Available from: 2023-08-31 Created: 2023-08-31 Last updated: 2023-09-04Bibliographically approved

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Alaqra, Ala SarahKaregar, FarzanehFischer-Hübner, Simone

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Alaqra, Ala SarahKaregar, FarzanehFischer-Hübner, Simone
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CiteExportLink to record
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