Privacy Analysis of Voice User Interfaces

Farida Yeasmin, Sneha Das, Tom Bäckström

Research output: Contribution to conferencePaperScientificpeer-review


While the popularity of voice user interfaces (VUIs) is increasing steadily, there is a lack of understanding about their impact on privacy. This has resulted in the rise of privacy concerns among users of VUI. Such privacy concerns include unwanted location tracking, unwarranted fingerprinting of voice data, listening to the users’ private conversations without consent, and unwanted sharing of private data with other devices and services. In this paper, we present user research on the emotional experiences and privacy expectations of users from human-to- VUI interaction. Further, we investigate user preferences for privacy notification modalities in a VUI, with respect to different privacy contexts. We use a sequence of qualitative and quantitative data analysis techniques to identify these aspects from our user study. To validate our findings, we implement a prototype of a privacy-aware notification system for a VUI based application and evaluate its effectiveness. Finally, we provide guidance on improving privacy awareness of a VUI device.
Original languageEnglish
Publication statusPublished - 2020
MoE publication typeNot Eligible
EventConference of Open Innovations Association - Virtual, Online
Duration: 7 Sep 20209 Sep 2020
Conference number: 27


ConferenceConference of Open Innovations Association
Abbreviated titleFRUCT
CityVirtual, Online
Internet address


Dive into the research topics of 'Privacy Analysis of Voice User Interfaces'. Together they form a unique fingerprint.

Cite this