Designing Privacy-Informed Sharing Techniques for Multi-User AR Experiences

With recent augmented reality (AR) systems becoming more prevalent and collaborative, there is an increased need for AR interaction techniques to mitigate the unique privacy concerns with multi-user, always-on AR. We present a study design based on two multi-user AR scenarios which expands on userdriven elicitation as a popular method in HCI by pairing AR and privacy experts together to iteratively design interactions and analyze corresponding privacy threats. A pilot leads us to believe this paired study design is promising for interaction proposals to incorporate privacy concerns and create overall safer designs while shaping a more holistic design approach.