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

翻译：随着增强现实（AR）设备的日益普及和商业化，对这些设备进行快速、高效且安全的配对方案的需求愈发迫切。当前安全交换全息图的方法要求用户通过大型数据中心传输信息，由此引发安全与隐私问题。现有在本地网络中配对设备并共享信息的技术在可用性和可扩展性方面存在不足：这些技术或需配备AR设备不具备的硬件、执行复杂的物理手势、摘下头戴设备、无法扩展至多配对对象，或依赖低熵方法生成加密密钥。为此，我们提出一种名为GazePair的新型配对系统，通过构建高效、有效且直观的配对协议，全面改进了现有本地配对技术。该系统利用视线追踪和口头密钥序列提示（KSC），生成具有64位熵的独立同源对称加密密钥。相较于现有方法，GazePair在配对成功率和时间上均取得显著提升。此外，我们证明了GazePair可扩展至多用户场景。最后，我们断言GazePair能够应用于任何配备视线追踪功能的混合现实（MR）设备。