PrivacyCube: data physicalization for enhancing privacy awareness in IoT

Al Muhander, Bayan, Arachchilage, Nalin, Majib, Yasar, Alosaimi, Mohammed, Rana, Omer F. ORCID: https://orcid.org/0000-0003-3597-2646 and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346 2025. PrivacyCube: data physicalization for enhancing privacy awareness in IoT. ACM Transactions on Internet of Things 10.1145/3722232

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Abstract

People are increasingly bringing Internet of Things (IoT) devices into their homes without understanding how their data is gathered, processed, and used. We describe PrivacyCube, a novel data physicalization designed to increase privacy awareness within smart home environments. PrivacyCube visualizes IoT data consumption by displaying privacy-related notices. PrivacyCube aims to assist smart home occupants to (i) understand their data privacy better and (ii) have conversations around data management practices of IoT devices used within their homes. Using PrivacyCube, households can learn and make informed privacy decisions collectively. To evaluate PrivacyCube, we used multiple research methods throughout the different stages of design. We first conducted a focus group study in two stages with six participants to compare PrivacyCube to text and state-of-the-art privacy policies. We then deployed PrivacyCube in a 14-day-long in-home field study with eight households. Lastly, we conducted an event-based field study comparing PrivacyCube with a mobile application, engaging 26 participants with diverse demographics. Our results show that PrivacyCube helps home occupants comprehend IoT privacy better with significantly increased privacy awareness at p <.05 (p=0.00041, t= -5.57). Participants preferred PrivacyCube over text privacy policies because it was comprehensive and easier to use. PrivacyCube, Privacy Label, and the mobile application, all received positive reviews from participants, with PrivacyCube being preferred for its interactivity and ability to encourage conversations. PrivacyCube was also considered by home occupants as a piece of home furniture , encouraging them to socialize and discuss IoT privacy implications using this device. Watch the demo (Demo Video) (Source Code).

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Schools > Computer Science & Informatics
Publisher:	Association for Computing Machinery (ACM)
ISSN:	2691-1914
Date of First Compliant Deposit:	10 April 2025
Date of Acceptance:	20 February 2025
Last Modified:	10 Apr 2025 09:00
URI:	https://orca.cardiff.ac.uk/id/eprint/176991

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