Privacy-enhancing technology and everyday augmented reality : understanding bystanders' varying needs for awareness and consent
O'Hagan, Joseph and Saeghe, Pejman and Gugenheimer, Jan and Medeiros, Daniel and Marky, Karola and Khamis, Mohamed and McGill, Mark (2023) Privacy-enhancing technology and everyday augmented reality : understanding bystanders' varying needs for awareness and consent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6 (4). 177. ISSN 2474-9567 (https://doi.org/10.1145/3569501)
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Abstract
Fundamental to Augmented Reality (AR) headsets is their capacity to visually and aurally sense the world around them, necessary to drive the positional tracking that makes rendering 3D spatial content possible. This requisite sensing also opens the door for more advanced AR-driven activities, such as augmented perception, volumetric capture and biometric identification - activities with the potential to expose bystanders to significant privacy risks. Existing Privacy-Enhancing Technologies (PETs) often safeguard against these risks at a low level e.g., instituting camera access controls. However, we argue that such PETs are incompatible with the need for always-on sensing given AR headsets' intended everyday use. Through an online survey (N=102), we examine bystanders' awareness of, and concerns regarding, potentially privacy infringing AR activities; the extent to which bystanders' consent should be sought; and the level of granularity of information necessary to provide awareness of AR activities to bystanders. Our findings suggest that PETs should take into account the AR activity type, and relationship to bystanders, selectively facilitating awareness and consent. In this way, we can ensure bystanders feel their privacy is respected by everyday AR headsets, and avoid unnecessary rejection of these powerful devices by society.
ORCID iDs
O'Hagan, Joseph, Saeghe, Pejman ORCID: https://orcid.org/0000-0001-6602-3123, Gugenheimer, Jan, Medeiros, Daniel, Marky, Karola, Khamis, Mohamed and McGill, Mark;-
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Item type: Article ID code: 89912 Dates: DateEvent11 January 2023Published10 October 2022AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science > Other topics, A-Z > Human-computer interaction Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 11 Jul 2024 10:26 Last modified: 12 Oct 2024 19:04 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/89912