Back to Search Start Over

PARA: Privacy Management and Control in Emerging IoT Ecosystems using Augmented Reality

Authors :
Lik Hang Lee
Carlos Bermejo Fernandez
Petteri Nurmi
Pan Hui
Department of Computer Science
Source :
ICMI
Publication Year :
2021
Publisher :
ACM, 2021.

Abstract

The ubiquity of smart devices, combined with a lack of information about data garnered by them, make privacy a significant challenge for adopting smart devices. Ensuring users can safeguard their privacy without compromising the devices’ functionality requires effective yet intuitive ways to manage personal privacy preferences. Current solutions for privacy management are severely lacking as they are ineffective in making users aware of potential privacy risks or how to mitigate them and as they offer limited support for interaction. As our first contribution, we develop a novel AR privacy management interface (PARA) that uses AR visualization to contextualize data disclosure and improve user’s perceptions of privacy threats. Besides offering support for enhancing user’s privacy perceptions, our interface supports privacy control on compatible devices through privacy-enhancing technologies. As our second contribution, we systematically study factors affecting privacy perceptions and privacy control for two device classes (smart camera and smart speaker) through a user study with N = 32 participants. Our results show that PARA’s contextualization and visualization of privacy disclosure strongly affect the participants’ privacy perceptions. For privacy control, we demonstrate that our prototype improves the participant’s capability to identify risks and provides an effective and easy-to-use mechanism for controlling privacy disclosure, in contrast to existing state-of-the-art privacy management interfaces.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 2021 International Conference on Multimodal Interaction
Accession number :
edsair.doi.dedup.....c9130aa95a743f1e1d030909b75719ca