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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 3C
DTSTART;TZID=America/Denver:20240729T112500
DTEND;TZID=America/Denver:20240729T113500
UID:siggraph_SIGGRAPH 2024_sess125_papers_142@linklings.com
SUMMARY:PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimizati
 on in XR Displays
DESCRIPTION:Kenneth Chen (New York University, Meta); Thomas Wan, Nathan M
 atsuda, Ajit Ninan, and Alexandre Chapiro (Meta); and Qi Sun (New York Uni
 versity)\n\nDisplays are a major battery drain on untethered XR devices. E
 nergy-efficient rendering reduces power consumption but sacrifices visual 
 quality. We investigated popular VR display and rendering architectures th
 rough our electronic measurement prototype and a large-scale perceptual st
 udy. Our milliwatt-to-quality model guides battery-aware rendering, displa
 y hardware design, and eye-tracking decisions.\n\nInterest Area: Research 
 & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Rendering, VR
 /AR/MR\n\nRegistration Category: Full Conference, Full Conference Supporte
 r, Virtual Access, Exhibitor Full Conference, Monday\n\nSession Chair: Wol
 fgang Heidrich (King Abdullah University of Science and Technology (KAUST)
 )\n\n
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