Optimizing Shoulder-Surfing Resistance in Augmented and Virtual Reality
summary
A US replication studies a graphical recognition password called the T scheme that enrolls users with five random images and authenticates via five 16-image grids (select one target per screen) implemented on oess and valve index headsets. Measures include authentication accuracy, average time, NASA-TLX workload, SUS satisfaction, and attack success rate under shoulder-surfing; claim is lower data collection than biometrics and high resistance to observation attacks because recognition-based visual cues and immersive display reduce spoofing.
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