NoTeeline: Supporting Real-Time Notetaking from Keypoints with Large
  Language Models
Authors: name: Faria Huq, name: Abdus Samee, name: David Chuan-en Lin, name: Xiaodi Alice Tang, name: Jeffrey P. Bigham

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.