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Perceptions and reactions to conversational privacy initiated by a conversational user interface

 
: Brüggemeier, Birgit; Lalone, Philip

:
Preprint urn:nbn:de:0011-n-6384983 (1.7 MByte PDF)
MD5 Fingerprint: 02922b43ce670e282844004a0407ac81
Erstellt am: 3.8.2021


Computer speech and language 71 (2022), Art. 101269, 17 S.
ISSN: 0885-2308
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
Innovationswettbewerb 2020; 01MK20011A
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IIS ()
CUI; conversational user interface; Speech Interface; privacy; security; usability; crowd sourcing; Mechanical Turk; conversational privacy

Abstract
In 2019, media reports raised awareness about privacy and security violations in Conversational User Interfaces (CUI) like Alexa, Siri and Google. Users report that they perceive CUI as creepy and that they are concerned about their privacy. The European General Data Protection Regulation (GDPR) and several other laws across the globe, give users the right to control processing of their data, for example by requesting deletion of their data and it gives them the right to obtain information about their data. Furthermore, GDPR and other laws advise for seamless communication of user rights, which, currently, is poorly implemented in CUI. We used a bespoke data collection interface to generate speaking chatbots and made them available as tasks on the crowd sourcing platform Mechanical Turk. With those chatbots we simulated how privacy can be communicated in a dialogue between user and machine. We find tha tconversational privacy can affect user perceptions of privacy and security positively. Moreover, user choices suggest that users are interested in obtaining information on their privacy and security in dialogue form. We discuss implications and limitations of this research.

: http://publica.fraunhofer.de/dokumente/N-638498.html