Implications of XR on Privacy, Security and Behaviour: Insights from Experts
Melvin Abraham,Pejman Saeghe,Mark McGill,Mohamed Khamis +3 more
- 08 Oct 2022
TL;DR: A collection of prescient challenges relating to security, privacy and behavioural manipulation within XR are established and recommendations working towards developing future XR devices that better support security and privacy by default are presented.
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Abstract: Extended-Reality (XR) devices are packed with sensors that allow tracking of users (e.g., behaviour, actions, eye-gaze) and their surroundings (e.g., people, places, objects). As a consequence, XR devices pose significant risks to privacy, security, and our ability to understand and influence the behaviour of users - risks that will be amplified by ever-increasing adoption. This necessitates addressing these concerns before XR becomes ubiquitous. We conducted three focus groups with thirteen XR experts from industry and academia interested in XR, security, and privacy, to investigate current and emerging issues relating to security, privacy, and influencing behaviour. We identified issues such as virtual threats leading to physical harm, missing opting-out methods, and amplifying bias through perceptual filters. From the results we establish a collection of prescient challenges relating to security, privacy and behavioural manipulation within XR and present recommendations working towards developing future XR devices that better support security and privacy by default.
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Citations
Privacy-Enhancing Technology and Everyday Augmented Reality
Joseph T. O'Hagan,Pejman Saeghe,Jan Gugenheimer,Daniel Nascimento Medeiros,Karola Marky,Mohamed Khamis,Mark McGill +6 more
TL;DR: In this paper , the authors examine the extent to which privacy-enhancing technologies (PETs) should take into account the AR activity type, and relationship to bystanders, selectively facilitating awareness and consent.
54
You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality
01 Jan 2023
TL;DR: In this article , a comprehensive study on user profiling in virtual technologies (i.e., AR, VR) is presented, where the authors employ machine learning on behavioral data (e.g., head, controllers, and eye data) to identify users and infer their individual attributes.
You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality
TL;DR: This work demonstrates the feasibility of user pro-ling in two different use-cases of virtual technologies: AR everyday application and VR robot teleoperation and leverages machine learning to identify users and infer their individual attributes (i.e., age, gender).
Augmenting People, Places & Media: The Societal Harms Posed by Everyday Augmented Reality, and the Case for Perceptual Human Rights
Joseph T. O'Hagan,Jan Gugenheimer,Jolie Bonner,Florian Mathis,Mark McGill +4 more
- 03 Dec 2023
TL;DR: It is argued that everyday AR will provoke the need for new human rights to be considered alongside proposed neurorights and existing and envisaged digital human rights, around: who can mediate reality (perceptual autonomy); what elements of reality are permissible to alter/augment (Perceptual agency); and governing permissible intent regarding why the authors augment the user’s perception of reality.
16
The Metaverse digital environments: A scoping review of the techniques, technologies, and applications
Muhammad Tukur,Jens Schneider,Mowafa Househ,A. H. Dokoro,U. I. Ismail,Muhammad Dawaki,Marco Agus +6 more
TL;DR: This scoping review of metaverse development (2020-2022) identifies 12 key technologies, 4 development techniques, and 11 industry applications, highlighting XR, AI, and decentralized technologies as prominent enablers for immersive metaverse spaces.
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