Intuitive Privacy from Acoustic Reach: A Case for Networked Voice User-Interfaces

Autor: Pablo Perez Zarazaga, Sneha Das, Stephan Sigg, Johannes Fischer, Le Ngu Nguyen, Tom Bäckström, Rainhard Dieter Findling
Přispěvatelé: Speech Interaction Technology, Speech Communication Technology, Friedrich-Alexander University Erlangen-Nürnberg, Ambient Intelligence, Department of Communications and Networking, Aalto-yliopisto, Aalto University
Rok vydání: 2021
Předmět:
Zdroj: 2021 ISCA Symposium on Security and Privacy in Speech Communication.
DOI: 10.21437/spsc.2021-12
Popis: The effect that advances in voice interface technologies have on privacy has not yet received the attention it deserves. Systems in which multiple devices collaborate to provide a unified user-interface amplify those worries about privacy. We discuss ethical implications of voice enabled devices on privacy in typical scenarios at home, office, in a car and in the public. From our findings, it follows that the reach of voice can be exploited as a feature to intuitively define the extent of privacy. In particular, the acoustic reach of speech signals can serve as a feature for designing privacy-gentle voice user-interfaces which are intuitive to use. We argue that this approach poses reasonable technological requirements and establishes a natural experience of privacy which confirms intuitive perception.
Databáze: OpenAIRE