{
  "id": 16704996,
  "title": "EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement",
  "url": "https://urgent.news/2026/10/26/eegaze-multimodal-attention-prediction-in-visual-search-via-eeg-based",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-26T17:04:04.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.35757v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Visual search is ubiquitous in daily life, from locating keys in a messy apartment to finding a tool in a cluttered workshop or an application icon on a desktop screen. While visual attention is to a large extent driven by image content, research in psychology indicates that user cognitive states have a significant influence on attention allocation. A promising way to access information about…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}