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  • Mensch und Computer 2022
  • Tagungsband MuC 2022
  • View Item

Alexa, It’s Me! An Online Survey on the User Experience of Smart Speaker Authentication

Author:
Renz, Andreas [DBLP] ;
Baldauf, Matthias [DBLP] ;
Maier, Edith [DBLP] ;
Alt, Florian [DBLP]
Abstract
Verifying the identify of the speaker is a crucial requirement for security-critical voice-based services on smart speakers, such as transferring money or making online purchases. Whilst various studies have explored novel authentication mechanisms for voice based services, there is little research on the user experience of respective authentication methods. To address this gap, we conducted a comprehensive online survey (n=696). We compared five authentication methods (spoken PIN, biometrics, app with button/voice confirmation, card reader) regarding their perceived efficiency, security, ease of use, and error susceptibility. Additionally, we investigated users’ willingness to use security-critical services in banking and government. We found an overall preference to confirm actions triggered by voice by pressing a button on a mobile authentication app followed by PIN-based authentication. In contrast, biometric authentication by voice is considered unreliable, while applying a card reader is regarded secure, yet less convenient.
  • Citation
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Renz, A., Baldauf, M., Maier, E. & Alt, F., (2022). Alexa, It’s Me! An Online Survey on the User Experience of Smart Speaker Authentication. In: Mühlhäuser, M., Reuter, C., Pfleging, B., Kosch, T., Matviienko, A., Gerling, K. S., Heuten, W., Döring, T., Müller, F. & Schmitz, M. (Hrsg.), Mensch und Computer 2022 - Tagungsband. New York: ACM. (S. 14-24). DOI: 10.1145/3543758.3543765
@inproceedings{mci/Renz2022,
author = {Renz, Andreas AND Baldauf, Matthias AND Maier, Edith AND Alt, Florian},
title = {Alexa, It’s Me! An Online Survey on the User Experience of Smart Speaker Authentication},
booktitle = {Mensch und Computer 2022 - Tagungsband},
year = {2022},
editor = {Mühlhäuser, Max AND Reuter, Christian AND Pfleging, Bastian AND Kosch, Thomas AND Matviienko, Andrii AND Gerling, Kathrin|Mayer, Sven AND Heuten, Wilko AND Döring, Tanja AND Müller, Florian AND Schmitz, Martin} ,
pages = { 14-24 } ,
doi = { 10.1145/3543758.3543765 },
publisher = {ACM},
address = {New York}
}

Weitere Information zum Dokument oder der Volltext des Dokuments sind auf einem externen Server verfuegbar: https://dl.acm.org/doi/10.1145/3543758.3543765

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More Info

DOI: 10.1145/3543758.3543765
xmlui.MetaDataDisplay.field.date: 2022
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Voice Assistant
  • Authentication
  • Voice Banking
Collections
  • Tagungsband MuC 2022 [90]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.