From Strangers to Friends: Augmenting Face-to-face Interactions with Faceted Digital Self-Presentations

Kytö, Mikko; Hirskyj-Douglas, Ilyena; McGookin, David

doi:10.1145/3458709.3458954

Cited by 3 publications

(2 citation statements)

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“…Furthermore, the real-time tracking, segmentation and identi cation of bystanders would unlock headset-based augmentation and alteration of identity, digital self-presentations, and face-to-face interactions [77,123]. Without control, however, this ability for others to augment how we are perceived could enable new forms of abuse.…”

Section: Capture Appropriation and Alteration Of Appearancementioning

confidence: 99%

“…As a result, bystanders may nd themselves deliberately or inadvertently subject to AR-enabled surveillance [116,145], with it being possible to sense and process biometric data (e.g. inferring identity from gait [98]), non-contact physiological data [136], volumetrically capture appearance and augment identity [77,123], determine protected characteristics [18], instrument behaviour and actions [101] and more [92]-predominantly from camera data alone. Research has shown that users may in fact be more concerned with risking bystanders' privacy, rather than their own; since bystanders could change their behaviour towards the AR user, if they perceive that their privacy is at risk [119].…”

Section: Introductionmentioning

confidence: 99%

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Privacy-Enhancing Technology and Everyday Augmented Reality

O’Hagan

Saeghe

Gugenheimer

et al. 2022

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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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.

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Section: Capture Appropriation and Alteration Of Appearancementioning

confidence: 99%