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Privacy/Policy: On-Device Filtering & Role-Based Redaction for Wearable Situational Awareness

Augmented reality (AR) headsets promise to improve situational awareness for medics, firefighters and security
personnel by overlaying live information on the physical world.
However, existing AR user interfaces struggle when many targets must be tracked simultaneously: cluttered overlays reduce
situational awareness and high rendering load causes frame
rate collapse. Prior work on first-responder AR systems showed
that object highlighting can improve situational awareness under stress without increasing perceived workload [1], and that
adaptive highlighting and colour coding help manage information
density [2]. Building on these insights, we propose Glass UX,
a priority-aware multi-target tracking interface for AR wearables. Our system ranks tracks by mission importance, stacks
corresponding iconography at the periphery and plays spatialised
audio cues to minimise visual load. Through microbenchmarks
and a user study we show that Glass UX maintains 30 fps with
up to twenty targets, reduces miss and false-acknowledgement
rates relative to na¨ıve overlays, and enables users to recognise
priority information with minimal glance time.

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