Privacy Norms for Smart Home Personal Assistants

要旨

Smart Home Personal Assistants (SPA) have a complex ecosystem that enables them to carry out various tasks on behalf of the user with just voice commands. SPA capabilities are continually growing, with over a hundred thousand third-party skills in Amazon Alexa, covering several categories, from tasks within the home (e.g. managing smart devices) to tasks beyond the boundaries of the home (e.g. purchasing online, booking a ride). In the SPA ecosystem, information flows through several entities including SPA providers, third-party skills providers, providers of Smart Devices, other users and external parties. Prior studies have not explored privacy norms in the SPA ecosystem, i.e., the acceptability of these information flows. In this paper, we study privacy norms in SPAs based on Contextual Integrity through a large-scale study with 1,738 participants. We also study the influence that the Contextual Integrity parameters and personal factors have on the privacy norms. Further, we identify the similarities in terms of the Contextual Integrity parameters of the privacy norms studied to to distill more general privacy norms, which could be useful, for instance, to establish suitable privacy defaults in SPA. We finally provide recommendations for SPA and third-party skill providers based on the privacy norms studied.

著者
Noura Abdi
Kings College London, London, United Kingdom
Xiao Zhan
King's College London, London, United Kingdom
Kopo M. Ramokapane
University of Bristol, Bristol, United Kingdom
Jose Such
King's College London, London, United Kingdom
DOI

10.1145/3411764.3445122

論文URL

https://doi.org/10.1145/3411764.3445122

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Privacy Behaviors

[A] Paper Room 12, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 12, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 12, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 12
11 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00
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