NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models
<|reference_start|>NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large Language Models: 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.<|reference_end|>
@article{huq2024noteeline:,
    title={NoTeeline: Supporting Real-Time, Personalized Notetaking with
  LLM-Enhanced Micronotes},
    author={Faria Huq, Abdus Samee, David Chuan-en Lin, Xiaodi Alice Tang, Jeffrey
  P. Bigham},
    journal={arXiv preprint arXiv:2409.16493},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.16493},
    primaryClass={cs.HC}
}