Examining Privacy & Surveillance Through Luxury Surveillance & XR
DIGC 3600 – Unit 2 Reflection | Dr. Meryl Krieger
University of Pennsylvania
Extended Reality (XR) technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), are revolutionising how we interact and communicate in digital environments. These technologies offer immersive experiences by collecting and processing vast amounts of user data, raising significant ethical concerns regarding privacy and surveillance. This essay critically examines these issues through the lens of luxury surveillance.
Chris Gilliard discusses luxury surveillance as the use of advanced surveillance technologies, like those found in wearables like Apple Watches or head-mounted displays (HMDs) by companies to monitor users. While aesthetically sleek and often chosen by the users, these technologies perform many of the same functions as ankle monitors used by law enforcement without the overt stigma. (Gilliard, 2024)
In XR, luxury surveillance manifests through extensive data collection often necessary to make the technology function. A typical consumer-grade virtual reality system comprises at least a HMD and two hand-held controllers… often capturing motion data at rates between 60 and 144 times per second, resulting in highly detailed telemetry streams. A study including over 40 countries and using more than 20 VR devices demonstrated that “over 50,000 VR users could be uniquely identified with 94.33% accuracy using just 100 seconds of head and hand motion data” (Nair, et al., 2023), highlighting that anonymised data can still be traced back to individual users.
This ability to infer identity mirrors the capability of LLMs to infer attributes such as age, gender, and ethnicity from unstructured text. Coeckelbergh emphasises that traditional privacy protections are inadequate against such sophisticated inference mechanisms, which can reveal sensitive information even from seemingly innocuous data. (Coeckelbergh, 2020)
Furthermore, in a future where HMDs track biometric information like brain wave activity, heart rate, eye gaze, and pupil dilation, the ethical implications extend beyond identification. Redlining, historically associated with discriminatory practices in housing and finance, could manifest in XR by limiting access to virtual spaces or resources if this data is used to segregate or discriminate against users based on their inferred attributes.
For example, if certain motion patterns are associated with specific demographic groups, companies might use this information to tailor or restrict content. This could already be possible as the study demonstrated that users from certain countries, particularly Japan and South Korea, were significantly easier to identify. (Nair, et al., 2023)
In summary, while XR technologies offer groundbreaking ways to engage and communicate, they also bring forth ethical challenges related to privacy and surveillance. The extensive data collection necessary for XR systems to function highlights the risk of accurate user identification from ostensibly harmless data. This not only threatens individual privacy but also sets the stage for discriminatory practices such as digital redlining, where access and services could be unjustly limited based on inferred demographic characteristics. As we move forward, it is crucial for stakeholders in the XR industry to rigorously examine these ethical issues to ensure that the benefits of XR technologies do not come at the expense of individual rights and privacy.
Works Cited
- Coeckelbergh, M. (2020). AI Ethics. The MIT Press. doi:https://doi-org.proxy.library.upenn.edu/10.7551/mitpress/12549.001.0001
- Gilliard, C. (2024). Unit 2.5 Guest talk: Chris Gilliard on Digital Redlining and Luxury Surveillance. (M. Krieger, Interviewer)
- Nair, V., Guo, W., Mattern, J., Wang, R., O’Brien, J. F., Rosenberg, L., & Song, D. (2023, 02 17). Unique Identification of 50,000+ Virtual Reality Users. https://arxiv.org/. Retrieved from https://arxiv.org/abs/2302.08927
