Personal information inference from voice recordings: User awareness and privacy concerns

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dc.contributor.authorKröger, Jacob Leon
dc.contributor.authorGellrich, Leon
dc.contributor.authorPape, Sebastian
dc.contributor.authorBrause, Saba Rebecca
dc.contributor.authorUllrich, Stefan
dc.date.accessioned2024-01-26T16:17:29Z
dc.date.available2024-01-26T16:17:29Z
dc.date.collected2020-06-04/2020-07-01
dc.date.issued2022
dc.description.abstractThrough voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about a recorded speaker (e. g., geographical origin, health status, personality). We conducted a nationally representative survey in the UK (n = 683, 18–69 years) to investigate people’s awareness about the inferential power of voice and speech analysis. Our results show that – while awareness levels vary between different categories of inferred information – there is generally low awareness across all participant demographics, even among participants with professional experience in computer science, data mining, and IT security. For instance, only 18.7% of participants are at least somewhat aware that physical and mental health information can be inferred from voice recordings. Many participants have rarely (28.4%) or never (42.5%) even thought about the possibility of personal information being inferred from speech data. After a short educational video on the topic, participants express only moderate privacy concern. However, based on an analysis of open text responses, unconcerned reactions seem to be largely explained by knowledge gaps about possible data misuses. Watching the educational video lowered participants’ intention to use voice-enabled devices. In discussing the regulatory implications of our findings, we challenge the notion of “informed consent” to data processing. We also argue that inferences about individuals need to be legally recognized as personal data and protected accordingly.en
dc.identifier.citationKröger, J. L., Gellrich, L., Pape, S., Brause, S. R., & Ullrich, S. (2022). Personal information inference from voice recordings: User awareness and privacy concerns. Proceedings on Privacy Enhancing Technologies, 2022(1), 6–27. https://doi.org/10.2478/popets-2022-0002
dc.identifier.issn2299-0984
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/459
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectprivacy
dc.subjectvoice recording
dc.subjectspeech
dc.subjectmicrophone
dc.subjectvoice assistant
dc.subjectsmart speaker
dc.subjectinference attack
dc.titlePersonal information inference from voice recordings: User awareness and privacy concerns
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.doi10.2478/popets-2022-0002
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleProceedings on Privacy Enhancing Technologies
dcterms.bibliographicCitation.pageend27
dcterms.bibliographicCitation.pagestart6
dcterms.bibliographicCitation.urlhttps://petsymposium.org/popets/2022/popets-2022-0002.php
dcterms.bibliographicCitation.volume2022
local.researchgroupVerantwortung und das Internet der Dinge
local.researchtopicVerantwortung – Vertrauen – Governance
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