Privacy at a Glance: The User-Centric Design of Glanceable Data Exposure Visualizations

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dc.contributor.authorWilkinson, Daricia
dc.contributor.authorBahirat, Paritosh
dc.contributor.authorNamara, Moses
dc.contributor.authorLyu, Jing
dc.contributor.authorAlsubhi, Arwa
dc.contributor.authorQiu, Jessica
dc.contributor.authorWisniewski, Pamela
dc.contributor.authorKnijnenburg, Bart P.
dc.date.accessioned2022-09-05T08:31:47Z
dc.date.available2022-09-05T08:31:47Z
dc.date.issued2020
dc.description.abstractSmartphone users are often unaware of mobile applications’ (“apps”) third-party data collection and sharing practices, which put them at higher risk of privacy breaches. One way to raise awareness of these practices is by providing unobtrusive but pervasive visualizations that can be presented in a glanceable manner. In this paper, we applied Wogalter et al.’s Communication-Human Information Processing model (C-HIP) to design and prototype eight different visualizations that depict smartphone apps’ data sharing activities. We varied the granularity and type (i.e., datacentric or app-centric) of information shown to users and used the screensaver/lock screen as a design probe. Through interview-based design probes with Android users (n=15), we investigated the aspects of the data exposure visualizations that influenced users’ comprehension and privacy awareness. Our results shed light on how users’ perceptions of privacy boundaries influence their preference regarding the information structure of these visualizations, and the tensions that exist in these visualizations between glanceability and granularity.We discuss how a pervasive, soft paternalistic approach to privacy-related visualization may raise awareness by enhancing the transparency of information flow, thereby, unobtrusively increasing users’ understanding of data sharing practices of mobile apps. We also discuss implications for privacy research and glanceable security.en_US
dc.identifier.citationWilkinson, D., Bahirat, P., Namara, M., Lyu, J., Alsubhi, A., Qiu, J., ... & Knijnenburg, B. P. (2020). Privacy at a glance: the user-centric design of glanceable data exposure visualizations. Proceedings on Privacy Enhancing Technologies, 2020(2), 416-435. DOI 10.2478/popets-2020-0034en_US
dc.identifier.other10.2478/popets-2020-0034
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4539
dc.language.isoenen_US
dc.publisherProceedings on Privacy Enhancing Technologiesen_US
dc.subjectPrivacyen_US
dc.subjectUseren_US
dc.subjectDesignen_US
dc.subjectQualitativeen_US
dc.subjectMobileen_US
dc.titlePrivacy at a Glance: The User-Centric Design of Glanceable Data Exposure Visualizationsen_US
dc.typeOtheren_US
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