1 citations · 1 across the 4 of their papers we have counts for
4 papers
EvaluatAR: A Cross-Device Evaluation Framework for Rapid Prototyping of Bystander PETs in AR
Syed Ibrahim Mustafa Shah Bukhari, Matthew Corbett, Bo Ji +1
Augmented Reality (AR) headsets continuously sense their surroundings, capturing nearby bystanders and raising privacy risks. Visual bystander privacy-enhancing technologies (PETs)…
EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding
Lang Zhang, JinYi Yoon, Matthew Corbett +2
Driver cognitive distraction is a major cause of road collisions and remains difficult to detect. Unlike manual or visual distraction, cognitive distraction is diverted by thoughts…
Securing Bystander Privacy in Mixed Reality While Protecting the User Experience
Matthew Corbett, Brendan David-John, Jiacheng Shang +2
The modern Mixed Reality devices that make the Metaverse viable require vast information about the physical world and can also violate the privacy of unsuspecting or unwilling byst…
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking
Matthew Corbett, Jiacheng Shang, Bo Ji
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 pressin…