{
  "id": 19050,
  "url": "https://arxiv.org/abs/2608.11566v1",
  "title": "Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation",
  "summary": "Browser-based webcam gaze trackers are increasingly used for crowd-scale data collection and in clinical settings where lab eye trackers are impractical, but the reported latency numbers may not represent real world functionality. The common practice of timestamping each gaze sample when it is emitted, rather than when its source frame was captured, makes the measured inference latency read about $0\\,$ms no matter how slow the engine really is. We show how to measure it honestly, recovering a pe",
  "authors": "Chi-Sheng Chen, Gabriel A. Brat",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T02:14:52.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19050",
  "original_url": "https://arxiv.org/abs/2608.11566v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}