title: NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large
    Language Models
summary: Video has become a popular media form for information sharing and
  consumption. However, taking notes while watching a video requires significant
  time and effort. To address this, we propose a novel interactive system,
  NoTeeline, for taking real-time, personalized notes. NoTeeline lets users
  quickly jot down keypoints (micronotes), which are automatically expanded into
  full-fledged notes that capture the content of the user's micronotes and are
  consistent with the user's writing style. In a within-subjects study (N=12), we
  found that NoTeeline helps users create high-quality notes that capture the
  essence of their micronotes with a higher factual correctness (93.2%) while
  accurately reflecting their writing style. While using NoTeeline, participants
  experienced significantly reduced mental effort, captured satisfactory notes
  while writing 47% less text, and completed notetaking with 43.9% less time
  compared to a manual notetaking baseline.
paper_authors._id: 66f59e4426eb28a8adc71f0e
paper_authors.name: Faria Huq
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-09-26T21:10:03.617Z
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paper_authors.fullname: Faria Huq
paper_authors.type: user
paper_authors.user: oaishi
paper_authors._id: 66f59e4426eb28a8adc71f0f
paper_authors.name: Abdus Samee
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-10-14T07:48:49.463Z
paper_authors._id: 65118e26a7492f9457529a9f
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paper_authors.fullname: Abdus Samee
paper_authors.type: user
paper_authors.user: uncleRoger
paper_authors._id: 66f59e4426eb28a8adc71f10
paper_authors.name: David Chuan-en Lin
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-10-21T07:49:01.761Z
paper_authors._id: 617e396ba7481f8efe4c82fd
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/617e396ba7481f8efe4c82fd/SaxzURusTKUubf0sFazBd.png
paper_authors.fullname: David Chuan-En Lin
paper_authors.type: user
paper_authors.user: chuanenlin
paper_authors._id: 66f59e4426eb28a8adc71f11
paper_authors.name: Xiaodi Alice Tang
paper_authors._id: 66f59e4426eb28a8adc71f12
paper_authors.name: Jeffrey P. Bigham
paper_title: NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large
    Language Models
paper_summary: Video has become a popular media form for information sharing and
  consumption. However, taking notes while watching a video requires significant
  time and effort. To address this, we propose a novel interactive system,
  NoTeeline, for taking real-time, personalized notes. NoTeeline lets users
  quickly jot down keypoints (micronotes), which are automatically expanded into
  full-fledged notes that capture the content of the user's micronotes and are
  consistent with the user's writing style. In a within-subjects study (N=12), we
  found that NoTeeline helps users create high-quality notes that capture the
  essence of their micronotes with a higher factual correctness (93.2%) while
  accurately reflecting their writing style. While using NoTeeline, participants
  experienced significantly reduced mental effort, captured satisfactory notes
  while writing 47% less text, and completed notetaking with 43.9% less time
  compared to a manual notetaking baseline.
paper_ai_keywords: interactive system real-time personalized notes keypoints micronotes full-fledged notes phrase embeddings writing style within-subjects study high-quality notes factual correctness semantic consistency mental effort notetaking time Transformer-based detector baseline latencies