NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models

Faria Huq, Abdus Samee, David Chuan-En Lin, Xiaodi Alice Tang, Jeffrey P. Bigham

NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models: 10 upvotes on Hugging Face Daily Papers, #9 of 12 papers on 2024-09-26. Day-by-day upvote history.

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 page on Hugging Face · arXiv

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