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As Augmented Reality (AR) devices become more prevalent and commerciallyviable, the need for quick, efficient, and secure schemes for pairing thesedevices has become more pressing. Current methods to securely exchangeholograms require users to send this information through large data centers,creating security and privacy concerns. Existing techniques to pair thesedevices on a local network and share information fall short in terms ofusability and scalability. These techniques either require hardware notavailable on AR devices, intricate physical gestures, removal of the devicefrom the head, do not scale to multiple pairing partners, or rely on methodswith low entropy to create encryption keys. To that end, we propose a novelpairing system, called GazePair, that improves on all existing local pairingtechniques by creating an efficient, effective, and intuitive pairing protocol.GazePair uses eye gaze tracking and a spoken key sequence cue (KSC) to generateidentical, independently generated symmetric encryption keys with 64 bits ofentropy. GazePair also achieves improvements in pairing success rates and timesover current methods. Additionally, we show that GazePair can extend tomultiple users. Finally, we assert that GazePair can be used on any MixedReality (MR) device equipped with eye gaze tracking.

GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking