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

Through 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 invest...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kröger Jacob Leon, Gellrich Leon, Pape Sebastian, Brause Saba Rebecca, Ullrich Stefan
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2022
Materias:	privacy voice recording speech microphone voice assistant smart speaker inference attack Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/42f603be1d3f4c6fa2c8857b15f6c893
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:42f603be1d3f4c6fa2c8857b15f6c893
record_format	dspace
spelling	oai:doaj.org-article:42f603be1d3f4c6fa2c8857b15f6c8932021-12-05T14:11:09ZPersonal information inference from voice recordings: User awareness and privacy concerns2299-098410.2478/popets-2022-0002https://doaj.org/article/42f603be1d3f4c6fa2c8857b15f6c8932022-01-01T00:00:00Zhttps://doi.org/10.2478/popets-2022-0002https://doaj.org/toc/2299-0984Through 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.Kröger Jacob LeonGellrich LeonPape SebastianBrause Saba RebeccaUllrich StefanSciendoarticleprivacyvoice recordingspeechmicrophonevoice assistantsmart speakerinference attackEthicsBJ1-1725Electronic computers. Computer scienceQA75.5-76.95ENProceedings on Privacy Enhancing Technologies, Vol 2022, Iss 1, Pp 6-27 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	privacy voice recording speech microphone voice assistant smart speaker inference attack Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95
spellingShingle	privacy voice recording speech microphone voice assistant smart speaker inference attack Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95 Kröger Jacob Leon Gellrich Leon Pape Sebastian Brause Saba Rebecca Ullrich Stefan Personal information inference from voice recordings: User awareness and privacy concerns
description	Through 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.
format	article
author	Kröger Jacob Leon Gellrich Leon Pape Sebastian Brause Saba Rebecca Ullrich Stefan
author_facet	Kröger Jacob Leon Gellrich Leon Pape Sebastian Brause Saba Rebecca Ullrich Stefan
author_sort	Kröger Jacob Leon
title	Personal information inference from voice recordings: User awareness and privacy concerns
title_short	Personal information inference from voice recordings: User awareness and privacy concerns
title_full	Personal information inference from voice recordings: User awareness and privacy concerns
title_fullStr	Personal information inference from voice recordings: User awareness and privacy concerns
title_full_unstemmed	Personal information inference from voice recordings: User awareness and privacy concerns
title_sort	personal information inference from voice recordings: user awareness and privacy concerns
publisher	Sciendo
publishDate	2022
url	https://doaj.org/article/42f603be1d3f4c6fa2c8857b15f6c893
work_keys_str_mv	AT krogerjacobleon personalinformationinferencefromvoicerecordingsuserawarenessandprivacyconcerns AT gellrichleon personalinformationinferencefromvoicerecordingsuserawarenessandprivacyconcerns AT papesebastian personalinformationinferencefromvoicerecordingsuserawarenessandprivacyconcerns AT brausesabarebecca personalinformationinferencefromvoicerecordingsuserawarenessandprivacyconcerns AT ullrichstefan personalinformationinferencefromvoicerecordingsuserawarenessandprivacyconcerns
_version_	1718371352429199360

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

Ejemplares similares