Abstract
The Internet of Things provides household device users with an ability to connect and manage numerous devices over a common platform. However, the sheer number of possible privacy settings creates issues such as choice overload. This article outlines a data-driven approach to understand how users make privacy decisions in household IoT scenarios. We demonstrate that users are not just influenced by the specifics of the IoT scenario, but also by aspects immaterial to the decision, such as the default setting and its framing.
Original language | English |
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Title of host publication | IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces |
Place of Publication | New ||York |
Publisher | Association for Computing Machinery, Inc |
Number of pages | 2 |
ISBN (Electronic) | 978-1-4503-5571-1 |
DOIs | |
Publication status | Published - 5 Mar 2018 |
Event | 23rd International Conference on Intelligent User Interfaces (IUI 2018) - Tokyo, Japan Duration: 7 Mar 2018 → 11 Mar 2018 Conference number: 23 |
Conference
Conference | 23rd International Conference on Intelligent User Interfaces (IUI 2018) |
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Abbreviated title | IUI 2018 |
Country/Territory | Japan |
City | Tokyo |
Period | 7/03/18 → 11/03/18 |
Keywords
- Data-driven design
- Internet of Things
- Privacy