{
  "id": 19451,
  "url": "https://arxiv.org/abs/2608.12857v1",
  "title": "PolyPresentation: A Multimodal AI Platform for Slide-Aware Iterative Presentation Practice",
  "summary": "Presentations are essential for students, researchers, and professionals to communicate ideas persuasively, yet delivering them effectively requires repeated practice that coordinates content, delivery, visual materials, and audience interaction. Existing AI-assisted rehearsal tools provide scalable feedback, but they often treat presentations as single-run delivery performances, offering limited support for linking feedback to the slide deck or planning what to practice in the next iteration. T",
  "authors": "Chen Chen, Jihao Li, Zhiyuan Wen, Tianhui Zhang, Di Zou, Jiannong Cao",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T05:57:53.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "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/19451",
  "original_url": "https://arxiv.org/abs/2608.12857v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}