All in One! User Perceptions on Centralized IoT Privacy Settings
Author:
Affiliation:
1. Technische Universität Darmstadt & Keio University, Darmstadt, Germany
2. Technische Universität Darmstadt, Darmstadt, Germany
3. Keio University, Tokyo, Japan
Funder
Bundesamt für Bildung, Wissenschaft und Forschung
Japan Science and Technology Agency
Horst Görtz Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3334480.3383016
Reference16 articles.
1. A Data-Driven Approach to Developing IoT Privacy-Setting Interfaces
2. User-Controllable Security and Privacy for Pervasive Computing
3. Personalized Privacy Assistants for the Internet of Things: Providing Users with Notice and Choice
4. Oops, I did it again
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1. Decide Yourself or Delegate - User Preferences Regarding the Autonomy of Personal Privacy Assistants in Private IoT-Equipped Environments;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
2. Understanding Dark Patterns in Home IoT Devices;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
3. Review of the theory, principles, and design requirements of human-centric Internet of Things (IoT);Journal of Ambient Intelligence and Humanized Computing;2023-02-04
4. Current topics of interdisciplinary cooperation between engineering and human sciences;Zeitschrift für Arbeitswissenschaft;2023-02-01
5. A Survey of User Perspectives on Security and Privacy in a Home Networking Environment;ACM Computing Surveys;2023-01-16
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