GazePair：使用注视跟踪的增强现实设备的高效配对
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking
摘要：
随着增强现实（AR）设备变得更加普遍和商业上可行，对用于配对这些设备的快速、高效和安全方案的需求变得更加迫切。目前安全交换全息图的方法要求用户通过大型数据中心发送这些信息，这带来了安全和隐私方面的问题。现有的技术在本地网络上配对这些设备并共享信息，在可用性和可扩展性方面存在不足。这些技术要么需要AR设备上不可用的硬件，复杂的物理手势，从头部移除设备，不扩展到多个配对伙伴，要么依赖于低熵的方法来创建加密密钥。为此，我们提出了一种新的配对系统，称为GazePair，它通过创建一个高效，有效和直观的配对协议来改进所有现有的本地配对技术。GazePair使用眼睛注视跟踪和语音密钥序列提示（KSC）来生成相同的、独立生成的具有64位熵的对称加密密钥。GazePair还在配对成功率和时间方面比当前方法有所改进。此外，我们表明，GazePair可以扩展到多个用户。最后，我们断言GazePair可以在任何配备眼睛注视跟踪的混合现实（MR）设备上使用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
